How language production shapes language form and comprehension

Oral language enrichment in preschool improves children's language skills: a cluster randomised controlled trial

BACKGROUND

Oral language skills provide the foundation for formal education, yet many children enter school with language weaknesses. This study evaluated the efficacy of a new language enrichment programme, the Nuffield Early Language Intervention-Preschool (NELI Preschool), delivered to children in the year before they enter formal education.

METHODS

We conducted a preregistered cluster randomised controlled trial in 65 nursery schools in England (https://doi.org/10.1186/ISRCTN29838552). NELI Preschool consists of a 20-week whole-class language enrichment programme delivered by a teacher each day for 20 min. In addition, children with the weakest language skills in each class are allocated to receive additional targeted support delivered by classroom assistants (whole-class + targeted). The language skills of all children (n = 1,586) in participating classrooms were assessed using the LanguageScreen automated app (https://oxedandassessment.com/languagescreen/). Settings were then randomly allocated to an intervention or control group. The children with the weakest language in each class (whole-class + targeted children n = 438), along with four randomly selected children in each class allocated to the whole-class only programme (n = 288) were individually tested on a range of language measures.

RESULTS

Children receiving NELI Preschool made larger gains than children in the control group on an oral language latent variable (whole-class children d = .26; whole-class + targeted children d = .16).

CONCLUSIONS

This study provides good evidence that whole-class intervention delivered in preschool can produce educationally significant improvements in children's language skills. The intervention is scaleable and relatively low cost. These findings have important implications for educational and social policy.

Cognitive causes of 'like me' race and gender biases in human language production

Natural language contains and communicates social biases, often reflecting attitudes, prejudices and stereotypes. Here we provide evidence for a novel psychological pathway for the expression of such biases, in which they arise as a consequence of the automatized mechanisms by which humans retrieve words to produce sentences. Four experiments show that, when describing events, speakers tend to mention people who are more like them first and, thus, tend to highlight the perspectives of their own social groups. This 'like me' effect was seen in speakers from multiple demographic groups, in both English and Chinese speakers and in both first- and second-language English speakers. Psycholinguistic manipulations pinpoint that the bias is caused by greater accessibility in memory of words that refer to in-group than out-group members. These data provide a new cognitive explanation for why people produce biased language and highlight how detailed cognitive theories can have social implications.

Grammatical gender in spoken word recognition in school-age Spanish monolingual and Spanish-English bilingual children

This study examined grammatical gender processing in school-aged children with varying levels of cumulative English exposure. Children participated in a visual world paradigm with a four-picture display where they heard a gendered article followed by a target noun and were in the context where all images were the same gender (same gender), where all of the distractor images were the opposite gender than the target noun (different gender), and where all of the distractor images were the opposite gender, but there was a mismatch in the gendered article and target noun pair. We investigated 51 children (aged 5;0-10;0) who were exposed to Spanish since infancy but varied in their amount of cumulative English exposure. In addition to the visual word paradigm, all children completed an article-noun naming task, a grammaticality judgment task, and standardized vocabulary tests. Parents reported on their child's cumulative English language exposure and current English language use. To investigate the time course of lexical facilitation effects, looks to the target were analyzed with a cluster-based permutation test. The results revealed that all children used gender in a facilitatory way (during the noun region), and comprehension was significantly inhibited when the article-noun pairing was ungrammatical rather than grammatical. Compared to children with less cumulative English exposure, children with more cumulative English exposure looked at the target noun significantly less often overall, and compared to younger children, older children looked at the target noun significantly more often overall. Additionally, children with lower cumulative English exposure looked at target nouns more in the different-gender condition than the same-gender condition for masculine items more than feminine items.

A universal preference for animate agents in hominids

When conversing, humans instantaneously predict meaning from fragmentary and ambiguous mspeech, long before utterance completion. They do this by integrating priors (initial assumptions about the world) with contextual evidence to rapidly decide on the most likely meaning. One powerful prior is attentional preference for agents, which biases sentence processing but universally so only if agents are animate. Here, we investigate the evolutionary origins of this preference, by allowing chimpanzees, gorillas, orangutans, human children, and adults to freely choose between agents and patients in still images, following video clips depicting their dyadic interaction. All participants preferred animate (and occasionally inanimate) agents, although the effect was attenuated if patients were also animate. The findings suggest that a preference for animate agents evolved before language and is not reducible to simple perceptual biases. To conclude, both humans and great apes prefer animate agents in decision tasks, echoing a universal prior in human language processing.

Word frequency and cognitive effort in turns-at-talk: turn structure affects processing load in natural conversation

Frequency distributions are known to widely affect psycholinguistic processes. The effects of word frequency in turns-at-talk, the nucleus of social action in conversation, have, by contrast, been largely neglected. This study probes into this gap by applying corpus-linguistic methods on the conversational component of the British National Corpus (BNC) and the Freiburg Multimodal Interaction Corpus (FreMIC). The latter includes continuous pupil size measures of participants of the recorded conversations, allowing for a systematic investigation of patterns in the contained speech and language on the one hand and their relation to concurrent processing costs they may incur in speakers and recipients on the other hand. We test a first hypothesis in this vein, analyzing whether word frequency distributions within turns-at-talk are correlated with interlocutors' processing effort during the production and reception of these turns. Turns are found to generally show a regular distribution pattern of word frequency, with highly frequent words in turn-initial positions, mid-range frequency words in turn-medial positions, and low-frequency words in turn-final positions. Speakers' pupil size is found to tend to increase during the course of a turn at talk, reaching a climax toward the turn end. Notably, the observed decrease in word frequency within turns is inversely correlated with the observed increase in pupil size in speakers, but not in recipients, with steeper decreases in word frequency going along with steeper increases in pupil size in speakers. We discuss the implications of these findings for theories of speech processing, turn structure, and information packaging. Crucially, we propose that the intensification of processing effort in speakers during a turn at talk is owed to an informational climax, which entails a progression from high-frequency, low-information words through intermediate levels to low-frequency, high-information words. At least in English conversation, interlocutors seem to make use of this pattern as one way to achieve efficiency in conversational interaction, creating a regularly recurring distribution of processing load across speaking turns, which aids smooth turn transitions, content prediction, and effective information transfer.

Perceptual Clauses as Units of Production in Visual Descriptions

Describing our visual environments is challenging because although an enormous amount of information is simultaneously available to the visual system, the language channel must impose a linear order on that information. Moreover, the production system is at least moderately incremental, meaning that it interleaves planning and speaking processes. Here, we address how the operations of these two cognitive systems are coordinated given their different characteristics. We propose the concept of a perceptual clause, defined as an interface representation that allows the visual and linguistic systems to exchange information. The perceptual clause serves as the input to the language formulator, which translates the representation into a linguistic sequence. Perceptual clauses capture speakers' ability to describe visual scenes coherently while at the same time taking advantage of the incremental abilities of the language production system.

Predictability and Variation in Language Are Differentially Affected by Learning and Production

General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory-the component of short-term memory used for temporary storage and manipulation of information. In this study, we consider the relationship between working memory and regularization of linguistic variation. Regularization is a well-documented process whereby languages become less variable (on some dimension) over time. This process has been argued to be driven by the behavior of individual language users, but the specific mechanism is not agreed upon. Here, we use an artificial language learning experiment to investigate whether limitations in working memory during either language learning or language production drive regularization behavior. We find that taxing working memory during production results in the loss of all types of variation, but the process by which random variation becomes more predictable is better explained by learning biases. A computational model offers a potential explanation for the production effect using a simple self-priming mechanism.

Surprisal From Language Models Can Predict ERPs in Processing Predicate-Argument Structures Only if Enriched by an Agent Preference Principle

Language models based on artificial neural networks increasingly capture key aspects of how humans process sentences. Most notably, model-based surprisals predict event-related potentials such as N400 amplitudes during parsing. Assuming that these models represent realistic estimates of human linguistic experience, their success in modeling language processing raises the possibility that the human processing system relies on no other principles than the general architecture of language models and on sufficient linguistic input. Here, we test this hypothesis on N400 effects observed during the processing of verb-final sentences in German, Basque, and Hindi. By stacking Bayesian generalised additive models, we show that, in each language, N400 amplitudes and topographies in the region of the verb are best predicted when model-based surprisals are complemented by an Agent Preference principle that transiently interprets initial role-ambiguous noun phrases as agents, leading to reanalysis when this interpretation fails. Our findings demonstrate the need for this principle independently of usage frequencies and structural differences between languages. The principle has an unequal force, however. Compared to surprisal, its effect is weakest in German, stronger in Hindi, and still stronger in Basque. This gradient is correlated with the extent to which grammars allow unmarked NPs to be patients, a structural feature that boosts reanalysis effects. We conclude that language models gain more neurobiological plausibility by incorporating an Agent Preference. Conversely, theories of human processing profit from incorporating surprisal estimates in addition to principles like the Agent Preference, which arguably have distinct evolutionary roots.

What Does That Mean? Complementizers and Epistemic Authority

A core goal of research in language is to understand the factors that guide choice of linguistic form where more than one option is syntactically well-formed. We discuss one case of optionality that has generated longstanding discussion: the choice of either using or dropping the English complementizer that in sentences like I think (that) the cat followed the dog. Existing psycholinguistic analyses tie that-usage to production pressures associated with sentence planning (Ferreira & Dell, 2000), avoidance of ambiguity (Hawkins, 2004), and relative information density (Jaeger, 2010). Building on observations from cross-linguistic fieldwork, we present a novel proposal in which English that can serve to mark a speaker's "epistemic authority" over the information packaged within the embedded clause; that is, it indicates that the speaker has more knowledge of the embedded proposition compared with their addressee and thus has a perspective that they believe their addressee doesn't share. Testing this proposal with a forced-choice task and a series of corpus surveys, we find that English that is keyed to the use of embedded speaker (first-person) subject pronouns and occurs in sentences containing newsworthy information. Our account of that-optionality takes into account why that is associated with both (i) a dense information signal and (ii) semantic-pragmatic content, as well as extending to cases of non-optionality in subject/sentence-initial clauses (e.g., *(That) the cat is following the dog, I already know) and fragment answers (e.g., What do you already know? *(That) the cat is following the dog), where that is required.

Can sequencing of articulation ease explain the in-out effect? A preregistered test

Words whose consonantal articulation places move from the front of the mouth to the back (e.g. BADAKA; inward) receive more positive evaluations than words whose consonantal articulation places move from the back of the mouth to the front (e.g. KADABA; outward). This in-out effect has a variety of affective, cognitive, and even behavioural consequences, but its underlying mechanisms remain elusive. Most recently, a linguistic explanation has been proposed applying the linguistic easy-first account and the so-called labial-coronal effect from developmental speech research and phonology to the in-out effect: Labials (front) are easier to process than coronals (middle); and people prefer easy followed by harder motor components. Disentangling consonantal articulation direction and articulation place, the present three preregistered experiments (total N = 1012) found in-out effects for coronal-dorsal (back), and labial-dorsal articulation places. Critically, no in-out effect emerged for labial-coronal articulation places. Thus, the in-out effect is unlikely an instantiation of easy first.

The Emotional Content of Children's Writing: A Data-Driven Approach

Emotion is closely associated with language, but we know very little about how children express emotion in their own writing. We used a large-scale, cross-sectional, and data-driven approach to investigate emotional expression via writing in children of different ages, and whether it varies for boys and girls. We first used a lexicon-based bag-of-words approach to identify emotional content in a large corpus of stories (N>100,000) written by 7- to 13-year-old children. Generalized Additive Models were then used to model changes in sentiment across age and gender. Two other machine learning approaches (BERT and TextBlob) validated and extended these analyses, converging on the finding that positive sentiments in children's writing decrease with age. These findings echo reports from previous studies showing a decrease in mood and an increased use of negative emotion words with age. We also found that stories by girls contained more positive sentiments than stories by boys. Our study shows the utility of large-scale data-driven approaches to reveal the content and nature of children's writing. Future experimental work should build on these observations to understand the likely complex relationships between written language and emotion, and how these change over development.

Linguistic features of spontaneous speech predict conversational recall

Empirical studies of conversational recall show that the amount of conversation that can be recalled after a delay is limited and biased in favor of one's own contributions. What aspects of a conversational interaction shape what will and will not be recalled? This study aims to predict the contents of conversation that will be recalled based on linguistic features of what was said. Across 59 conversational dyads, we observed that two linguistic features that are hallmarks of interactive language use-disfluency (um/uh) and backchannelling (ok, yeah)-promoted recall. Two other features-disagreements between the interlocutors and use of "like"-were not predictive of recall. While self-generated material was better remembered overall, both hearing and producing disfluency and backchannels improved memory for the associated utterances. Finally, the disfluency-related memory boost was similar regardless of the number of disfluencies in the utterance. Overall, we conclude that interactional linguistic features of conversation are predictive of what is and is not recalled following conversation.

Studying Conversational Adjustments in Interaction: Beyond Acoustic Phonetic Changes

PURPOSE

We examined which measures of complexity are most informative when studying language produced in interaction. Specifically, using these measures, we explored whether native and nonnative speakers modified the higher level properties of their production beyond the acoustic-phonetic level based on the language background of their conversation partner.

METHOD

Using a subset of production data from the Wildcat Corpus that used Diapix, an interactive picture matching task, to elicit production, we compared English language production at the dyad and individual level across three different pair types: eight native pairs (English-English), eight mixed pairs (four English-Chinese and four English-Korean), and eight nonnative pairs (four Chinese-Chinese and four Korean-Korean).

RESULTS

At both the dyad and individual levels, native speakers produced longer and more clausally dense speech. They also produced fewer silent pauses and fewer linguistic mazes relative to nonnative speakers. Speakers did not modify their production based on the language background of their interlocutor.

CONCLUSIONS

The current study examines higher level properties of language production in true interaction. Our results suggest that speakers' productions were determined by their own language background and were independent of that of their interlocutor. Furthermore, these demonstrated promise for capturing syntactic characteristics of language produced in true dialogue.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.24712956.

Noun imageability and the processing of sensory-based information

The aim of this study was to test whether the availability of internal imagery elicited by words is related to ratings of word imageability. Participants are presented with target words and, after a delay allowing for processing of the word, answer questions regarding the size or weight of the word referents. Target words differ with respect to imageability. Results show faster responses to questions for high imageability words than for low imageability words. The type of question (size/weight) modulates reaction times suggesting a dominance of the visual domain over the physical-experience domain in concept representation. Results hold across two different languages (Czech/German). These findings provide further insights into the representations underlying word meaning and the role of word imageability in language acquisition and processing.

The Role of Animacy in Turkish Relative Clause Production and Distribution

Relative clause (RC) production has been a major tool used for understanding language production mechanism in experimental linguistics. The present study analyzes language production mechanisms in Turkish by utilizing animacy effect on RC production. A picture description task was applied to two participant groups. The data were combined and analyzed to see how animacy influenced RC formation. The outcomes were also compared to the distributions of RC use in corpus data. Both participant and corpus data demonstrated significant level of passivization for RCs with animate heads, strongly affirming the grammatical function assignment proposal by Bock and Warren (Cognition 21(1):47-67, 1985) as well as the premise of Production-Distribution-Comprehension account (MacDonald in Front Psychol 4:226, 2013), emphasizing the relationship between language production mechanisms and typology. However, the corpus data were observed to have higher numbers of passivization with animate condition. Accordingly, a coarse comparison of the participant RC production proportions in the current study with some other crosslinguistic research suggests that some language-specific or discourse-related interventions can also compete with the animacy accessibility during the sentence planning procedure, which needs an extra inquiry especially in Turkish language.

Grammatical cues to subjecthood are redundant in a majority of simple clauses across languages

Grammatical cues are sometimes redundant with word meanings in natural language. For instance, English word order rules constrain the word order of a sentence like "The dog chewed the bone" even though the status of "dog" as subject and "bone" as object can be inferred from world knowledge and plausibility. Quantifying how often this redundancy occurs, and how the level of redundancy varies across typologically diverse languages, can shed light on the function and evolution of grammar. To that end, we performed a behavioral experiment in English and Russian and a cross-linguistic computational analysis measuring the redundancy of grammatical cues in transitive clauses extracted from corpus text. English and Russian speakers (n = 484) were presented with subjects, verbs, and objects (in random order and with morphological markings removed) extracted from naturally occurring sentences and were asked to identify which noun is the subject of the action. Accuracy was high in both languages (∼89% in English, ∼87% in Russian). Next, we trained a neural network machine classifier on a similar task: predicting which nominal in a subject-verb-object triad is the subject. Across 30 languages from eight language families, performance was consistently high: a median accuracy of 87%, comparable to the accuracy observed in the human experiments. The conclusion is that grammatical cues such as word order are necessary to convey subjecthood and objecthood in a minority of naturally occurring transitive clauses; nevertheless, they can (a) provide an important source of redundancy and (b) are crucial for conveying intended meaning that cannot be inferred from the words alone, including descriptions of human interactions, where roles are often reversible (e.g., Ray helped Lu/Lu helped Ray), and expressing non-prototypical meanings (e.g., "The bone chewed the dog.").

What corpus data reveal about the Position of Antecedent Strategy: anaphora resolution in Spanish monolinguals and L1 English-L2 Spanish bilinguals

This study investigates the acquisition of anaphora resolution (AR) in Spanish as a second language (L2). According to the Position of Antecedent Strategy (PAS), in native Spanish null pronominal subjects are biased toward subject antecedents, whereas overt pronominal subjects show a "flexible" bias (typically toward non-subject but also toward subject antecedents). The PAS has been extensively investigated in experimental studies, though little is known about real production. We show how naturalistic production (corpus methods) can uncover crucial factors in the PAS that have not been explored in the experimental literature. We analyzed written samples from the CEDEL2 corpus: L1 English-L2 Spanish adult late-bilingual learners (intermediate, lower-advanced and upper-advanced proficiency levels) and a control group of adult Spanish monolinguals (N = 75 texts). Anaphors were manually annotated via a fine-grained, linguistically-motivated tagset in UAM Corpus Tool. Against traditional assumptions, our results reveal that (i) the PAS is not a privileged mechanism for resolving anaphora; (ii) it is more complex than assumed (in terms of the division of labor of anaphoric forms, their antecedents and the syntactic configuration in which they appear); (iii) the much-debated "flexible" bias of overt pronouns is apparent since they are hardly produced and are replaced by repeated NPs, which show a clear non-subject antecedent bias; (iv) at the syntax-discourse interface, the PAS is constrained by information structure in more complex ways than assumed: null pronouns mark topic continuity, whereas overtly realized referential expressions (overt REs: overt pronouns and NPs) mark topic shift. Learners show more difficulties with topic continuity (where they redundantly use overt pronouns) than with topic shift (where they normally disambiguate by using overtly realized REs), thus being more redundant than ambiguous, in line with the Pragmatic Principles Violation Hypothesis (PPVH) (Lozano, 2016). We finally argue that the insights from corpora should be implemented into experiments. The triangulation of corpus and experimental methods in bilingualism ultimately provides a clearer understanding of the phenomenon under investigation.

Prediction during language comprehension: what is next?

Prediction is often regarded as an integral aspect of incremental language comprehension, but little is known about the cognitive architectures and mechanisms that support it. We review studies showing that listeners and readers use all manner of contextual information to generate multifaceted predictions about upcoming input. The nature of these predictions may vary between individuals owing to differences in language experience, among other factors. We then turn to unresolved questions which may guide the search for the underlying mechanisms. (i) Is prediction essential to language processing or an optional strategy? (ii) Are predictions generated from within the language system or by domain-general processes? (iii) What is the relationship between prediction and memory? (iv) Does prediction in comprehension require simulation via the production system? We discuss promising directions for making progress in answering these questions and for developing a mechanistic understanding of prediction in language.

Ignoring the alternatives: The N400 is sensitive to stimulus preactivation alone

The N400 component of the event-related brain potential is a neural signal of processing difficulty. In the language domain, it is widely believed to be sensitive to the degree to which a given word or its semantic features have been preactivated in the brain based on the preceding context. However, it has also been shown that the brain often preactivates many words in parallel. It is currently unknown whether the N400 is also affected by the preactivations of alternative words other than the stimulus that is actually presented. This leaves a weak link in the derivation chain-how can we use the N400 to understand the mechanisms of preactivation if we do not know what it indexes? This study directly addresses this gap. We estimate the extent to which all words in a lexicon are preactivated in a given context using the predictions of contemporary large language models. We then directly compare two competing possibilities: that the amplitude of the N400 is sensitive only to the extent to which the stimulus is preactivated, and that it is also sensitive to the preactivation states of the alternatives. We find evidence of the former. This result allows for better grounded inferences about the mechanisms underlying the N400, lexical preactivation in the brain, and language processing more generally.

Effects of individual differences in text exposure on sentence comprehension

Linguistic experience plays a clear role in accounting for variability in sentence comprehension behavior across individuals and across sentence types. We aimed to understand how individual differences in reading experience predict reading behavior. Corpus analyses revealed the frequencies with which our experimental items appeared in written and spoken language. We hypothesized that reading experience should affect sentence comprehension most substantially for sentence types that individuals primarily encounter through written language. Readers with more text exposure were faster and more accurate readers overall, but they read sentence types biased to written language particularly faster than did readers with less text exposure. We see clear effects of text exposure on sentence comprehension in ways that allow explicit links between written and spoken corpus statistics and behavior. We discuss theoretical implications of effects of text exposure for experience-based approaches to sentence processing.

Information-theoretic principles in incremental language production

I apply a recently emerging perspective on the complexity of action selection, the rate-distortion theory of control, to provide a computational-level model of errors and difficulties in human language production, which is grounded in information theory and control theory. Language production is cast as the sequential selection of actions to achieve a communicative goal subject to a capacity constraint on cognitive control. In a series of calculations, simulations, corpus analyses, and comparisons to experimental data, I show that the model directly predicts some of the major known qualitative and quantitative phenomena in language production, including semantic interference and predictability effects in word choice; accessibility-based ("easy-first") production preferences in word order alternations; and the existence and distribution of disfluencies including filled pauses, corrections, and false starts. I connect the rate-distortion view to existing models of human language production, to probabilistic models of semantics and pragmatics, and to proposals for controlled language generation in the machine learning and reinforcement learning literature.

When Children's Production Deviates From Observed Input: Modeling the Variable Production of the English Past Tense

As children gradually master grammatical rules, they often go through a period of producing form-meaning associations that were not observed in the input. For example, 2- to 3-year-old English-learning children use the bare form of verbs in settings that require obligatory past tense meaning while already starting to produce the grammatical -ed inflection. While many studies have focused on overgeneralization errors, fewer studies have attempted to explain the root of this earlier stage of rule acquisition. In this work, we use computational modeling to replicate children's production behavior prior to the generalization of past tense production in English. We illustrate how seemingly erroneous productions emerge in a model, without being licensed in the grammar and despite the model aiming at conforming to grammatical forms. Our results show that bare form productions stem from a tension between two factors: (1) trying to produce a less frequent meaning (the past tense) and (2) being unable to restrict the production of frequent forms (the bare form) as learning progresses. Like children, our model goes through a stage of bare form production and then converges on adult-like production of the regular past tense, showing that these different stages can be accounted for through a single learning mechanism.

Priming Center-Embedded Object and Extraposed Subject Relative Clauses in Persian Language Production: Searching for Persistence of Hierarchical Configuration

Substantial evidence suggests that priming can co-occur at different syntactic and nonsyntactic levels. In this study, we further explore two loci of priming concerned with hierarchical configuration and thematic information using relative clause (RC) constructions. In a comprehension-to-production task, Persian speakers (42 adults and 42 children) described pictures after hearing extraposed subject or center-embedded object RCs containing the same or different verbs. We ask whether priming the object RC mitigates the computational cost of center-embedding and thus increases the subsequent production of this infrequent structure. We also measured persistence effects associated with the assignment of emphasis to thematic roles, examining whether a particular portrayal of an event is captured and reproduced (e.g., foregrounding the patient). Although this study could not establish any significant priming effects in the production of the center-embedded object RC, we observed that adults used this construction more in the same verbs condition. The overall results instead revealed strong evidence for thematic emphasis persistence, such that patient-emphasis object relatives further elicited functionally equivalent RC constructions. We discuss priming of hierarchical configuration as a candidate locus and explain the activation of functional information from the speaker's perspective.

Solving the elusiveness of word meanings: two arguments for a continuous meaning space for language

I explore the hypothesis that the experience of meaning discreteness when we think about the "meaning" of a word is a "communicative" illusion. The illusion is created by processing-contextual constraints that impose disambiguation on the semantic input making salient a specific interpretation within a conceptual space that is otherwise continuous. It is this salience that we experience as discreteness. The understanding of word meaning as non-discrete raises the question of what is context; what are the mechanisms of constraint that it imposes and what is the nature of the conceptual space with which pronunciations (i.e., visual/oral signs) associate themselves. I address these questions by leveraging an algebraic continuous system for word meaning that is itself constrained by two fundamental parameters: control-asymmetry and connectedness. I evaluate this model by meeting two challenges to word meaning discreteness (1) cases where the same pronunciation is associated with multiple senses that are nonetheless interdependent, e.g., English "smoke," and (2) cases where the same pronunciation is associated with a family of meanings, minimally distinct from each other organized as a "cline," e.g., English "have." These cases are not marginal-they are ubiquitous in languages across the world. Any model that captures them is accounting for the meaning system for language. At the heart of the argumentation is the demonstration of how the parameterized space naturally organizes these kinds of cases without appeal for further categorization or segmentation of any kind. From this, I conclude that discreteness in word meaning is epiphenomenal: it is the experience of salience produced by contextual constraints. And that this is possible because, by and large, every time that we become consciously aware of the conceptual structure associated with a pronunciation, i.e., its meaning, we do so under real-time processing conditions which are biased toward producing a specific interpretation in reference to a specific situation in the world. Supporting it is a parameterized space that gives rise to lexico-conceptual representations: generalized algebraic structures necessary for the identification, processing, and encoding of an individual's understanding of the world.

Utterance planning under message uncertainty: evidence from a novel picture-naming paradigm

Language researchers view utterance planning as implicit decision-making: producers must choose the words, sentence structures, and various other linguistic features to communicate their message. To date, much of the research on utterance planning has focused on situations in which the speaker knows the full message to convey. Less is known about circumstances in which speakers begin utterance planning before they are certain about their message. In three picture-naming experiments, we used a novel paradigm to examine how speakers plan utterances before a full message is known. In Experiments 1 and 2, participants viewed displays showing two pairs of objects, followed by a cue to name one pair. In an Overlap condition, one object appeared in both pairs, providing early information about one of the objects to name. In a Different condition, there was no object overlap. Across both spoken and typed responses, participants tended to name the overlapping target first in the Overlap condition, with shorter initiation latencies compared with other utterances. Experiment 3 used a semantically constraining question to provide early information about the upcoming targets, and participants tended to name the more likely target first in their response. These results suggest that in situations of uncertainty, producers choose word orders that allow them to begin early planning. Producers prioritize message components that are certain to be needed and continue planning the rest when more information becomes available. Given similarities to planning strategies for other goal-directed behaviors, we suggest continuity between decision-making processes in language and other cognitive domains.

Speakers prioritise affordance-based object semantics in scene descriptions

This work investigates the linearisation strategies used by speakers when describing real-world scenes to better understand production plans for multi-utterance sequences. In this study, 30 participants described real-world scenes aloud. To investigate which semantic features of scenes predict order of mention, we quantified three features (meaning, graspability, and interactability) using two techniques (whole-object ratings and feature map values). We found that object-level semantic features, namely those affordance-based, predicted order of mention in a scene description task. Our findings provide the first evidence for an object-related semantic feature that guides linguistic ordering decisions and offer theoretical support for the role of object semantics in scene viewing and description.

Hysteresis in motor and language production

Hysteresis in motor planning and syntactic priming in language planning refer to the influence of prior production history on current production behaviour. Computational efficiency accounts of action hysteresis and theoretical accounts of syntactic priming both argue that reusing an existing plan is less costly than generating a novel plan. Despite these similarities across motor and language frameworks, research on planning in these domains has largely been conducted independently. The current study adapted an existing language paradigm to mirror the incremental nature of a manual motor task to investigate the presence of parallel hysteresis effects across domains. We observed asymmetries in production choice for both the motor and language tasks that resulted from the influence of prior history. Furthermore, these hysteresis effects were more exaggerated for subordinate production forms implicating an inverse preference effect that spanned domain. Consistent with computational efficiency accounts, across both task participants exhibited reaction time savings on trials in which they reused a recent production choice. Together, these findings lend support to the broader notion that there are common production biases that span both motor and language domains.

Lexico-Semantic Influence on Syntactic Processing: An Eye-Tracking Study with Spanish Relative Clauses

This paper investigates the interaction between lexicosemantic and syntactic information in sentence processing by examining the online comprehension of Spanish relative clauses (RCs) of both restrictive and non-restrictive types. A corpus study shows that, in Spanish, a RC may be introduced by different function words (called relativizers), which differ in lexical frequency, as well as semantic features. Based on these facts, an eye-tracking experiment was conducted with the aim of analyzing whether lexicosemantic information could influence sentence processing at the early stages. The results report an early influence of lexicosemantic information not only when activating a relativizer but also when integrating it within the syntactic structure. Additionally, the semantic role played by each RC type seems to constrain sentence processing at different regions. Our results favor an interactive view of language processing, according to which language comprehension is guided from the early stages by different kinds of linguistic information rather than syntactic information alone.

A chimpanzee by any other name: The contributions of utterance context and information density on word choice

An important feature of language production is the flexibility of lexical selection; producers could refer to an animal as chimpanzee, chimp, ape, she, and so on. Thus, a key question for psycholinguistic research is how and why producers make the lexical selections that they do. Information theoretic approaches have argued that producers regulate the uncertainty of the utterance for comprehenders, for example using longer words like chimpanzee if their messages are likely to be misunderstood, and shorter ones like chimp when the message is easy to understand. In this work, we test for the relative contributions of the information theoretic approach and an approach more aligned with psycholinguistic models of language production. We examine the effect on lexical selection of whole utterance-level factors that we take as a proxy for register or style in message-driven production accounts. Using a modern machine learning-oriented approach, we show that for both naturalistic stimuli and real-world corpora, producers prefer words to be longer in systematically different contexts, independent of the specific message they are trying to convey. We do not find evidence for regulation of uncertainty, as in information theoretic approaches. We offer suggestions for modification of the standard psycholinguistic production approach that emphasizes the need for the field to specify how message formulation influences lexical choice in multiword utterances.

An experimental study on grammatical sensitivity and production competence in Chinese and Spanish EFL learners and its implications on EFL teaching methods

Implicit knowledge acquired by L2 learners determines their language competence; however, it remains an issue to what extent advanced EFL learners can acquire implicit language knowledge. This study aims at finding out whether advanced EFL learners from two different L1s could acquire a level of implicit knowledge of English questions by using the modified Elicited Oral Imitation Task. A quantitative, experimental study with the Elicited Oral Imitation Task experimental tool was designed. A total number of 91 participants were recruited via the online experimental platform from October to November, 2021, distributed into a native speaker group, a Chinese EFL learner group, and a Spanish EFL group. The study evaluated participants' implicit language knowledge by assessing two indicators: the grammatical sensitivity index and the production index. Independent-sample t-test and one-way analysis of variance (ANOVA) were applied to examine the differences in the two indices among different groups. Results revealed that both EFL groups displayed a significant difference with the native speaker group in their degree of implicit knowledge of English questions in general. A further comparison of the two indicators showed that while both EFL groups displayed a relatively high grammatical sensitivity to morpho-syntactic errors in English questions, their corrective production rate of ungrammatical sentences was notably lower. These results indicate that advanced EFL learners had difficulty in acquiring implicit knowledge of English questions at native speaker' level. These findings also imply a gap between EFL learners' language knowledge level and corresponding language production competence. Targeting this gap within the Interaction-based production-oriented approach pedagogical implications based on were suggested for enhancing EFL learners' language production competence in EFL contexts.

Structural priming from production to comprehension in aphasia

Background

Many people with aphasia (PWA) show deficits in sentence production and comprehension, in part, due to an inefficient mapping between messages and syntactic structures. Structural priming-the tendency to repeat previously encountered sentence structures-has been shown to support implicit syntactic learning within and across production and comprehension modalities in healthy adults. Structural priming is also effective in facilitating sentence production and comprehension in PWA. However, less is known about whether priming in one modality changes PWA's performance in the other modality, crucial evidence needed for applying structural priming as a cost-effective intervention strategy for PWA.

Aims

This study examined (a) whether production to comprehension cross-modality priming is effective in PWA, (b) whether priming-induced changes in syntactic comprehension lasted in the absence of an immediate prime, and (c) whether there is a significant correlation between individuals' priming effects and the change in their comprehension following priming.

Methods & Procedures

Thirteen PWA and 13 age-matched control participants completed a pre-test, a production-to-comprehension priming block, and a post-test. In the pre- and post-tests, participants completed a sentence-picture matching task with sentences involving interpretations of an ambiguous prepositional phrase (e.g., The teacher is poking the monk with a bat). Participants were free to choose a picture corresponding to a high attachment (HA; e.g., the teacher is using the bat to poke the monk) or a low attachment (LA; e.g., the monk is holding the bat) interpretation. In the priming block, participants produced LA sentences as primes and then completed a sentence-picture matching task for comprehension targets, similar to the pre-test.

Results

Age-matched controls and PWA showed a significant priming effect when comparing the priming block to the pre-test. In both groups, the priming effect persisted when comparing picture selections in the pre- and post-tests. At the individual level, age-matched controls who showed larger priming effects also selected more LA pictures in the post-test compared to the pre-test, indicating that the priming effect accounted for the magnitude of change from the pre- to post-test. This correlation was also found in PWA.

Conclusions

These findings suggest that production-to-comprehension structural priming is effective and persistent in PWA and controls, in line with the view that structural priming is a form of implicit learning. Further, the findings suggest that syntactic representations are shared between modalities, and therefore, production influences future comprehension. Cross-modality structural priming may have clinical potential to improve sentence processing in PWA.

Bidialectal and monodialectal differences in morphosyntactic processing of AAE and MAE: Evidence from ERPs and acceptability judgments

INTRODUCTION

African American English (AAE) has never been examined through neurophysiological methods in investigations of dual-language variety processing. This study examines whether contrastive and non-contrastive morphosyntactic features in sentences with and without AAE constructions elicit differing neural and/or behavioral responses in bidialectal speakers of AAE and Mainstream American English (MAE), compared to monodialectal MAE speakers. We compared electroencephalographic (EEG) and behavioral (grammatical acceptability judgment) data to determine whether two dialects are processed similarly to distinct languages, as seen in studies of bilingual codeswitching where the P600 event related potential (ERP) has been elicited when processing a switch between language varieties.

METHODS

Bidialectal AAE-MAE speakers (n = 15) and monodialectal MAE speakers (n = 12) listened to sentences in four conditions, while EEG was recorded to evaluate time-locked brain responses to grammatical differences between sentence types. The maintained verb form in the present progressive tense sentences (e.g., The black cat lap/s the milk) was the morphosyntactic feature of interest for comparing P600 responses as an indicator of error detection. Following each trial, responses and reaction times to a grammatical acceptability judgment task were collected and compared.

RESULTS

Findings indicate distinct neurophysiological profiles between bidialectal and monodialectal speakers. Monodialectal speakers demonstrated a P600 response within 500-800ms following presentation of an AAE morphosyntax feature, indicating error detection; this response was not seen in the bidialectal group. Control sentences with non-contrasting grammar revealed no differences in ERP responses between groups. Behaviorally, bidialectal speakers showed greater acceptance of known dialectal variation and error (non-contrastive) sentence types compared to the monodialectal group.

CONCLUSIONS

ERP and behavioral responses are presented as preliminary evidence of dual-language representation in bidialectal speakers. Increased consideration of AAE language processing would enhance equity in the study of language at large, improving the work of clinicians, researchers, educators and policymakers alike.

A Reappraisal of Dependency Length Minimization as a Linguistic Universal

Dependency length minimization is widely regarded as a cross-linguistic universal reflecting syntactic complexity in natural languages. A typical way to operationalize dependency length in corpus-based studies has been to count the number of words between syntactically related words. However, such a formulation ignores the syntactic nature of the linguistic material that intervenes a dependency. In this work, we investigate if the number of syntactic heads (rather than the number of words) that intervene a dependency better captures the syntactic complexity across languages. We demonstrate that the dependency length minimization constraint in terms of the number of words could arise as a consequence of constraints on the intervening heads and the tree properties such as node arity. The current study highlights the importance of syntactic heads as central regions of structure building during processing. The results show that when syntactically related words are nonadjacent, increased structure building in the intervening region is avoided.

Good-Enough Production: Selecting Easier Words Instead of More Accurate Ones

Dominant theories of language production suggest that word choice-lexical selection-is driven by alignment with the intended message: To talk about a young feline, we choose the most aligned word, kitten. Another factor that could shape lexical selection is word accessibility, or how easy it is to produce a given word (e.g., cat is more accessible than kitten). To test whether producers are also influenced by word accessibility, we designed an artificial lexicon containing high- and low-frequency words whose meanings correspond to compass directions. Participants in a communication game (total N = 181 adults) earned points by producing compass directions, which often required an implicit decision between a high- and low-frequency word. A trade-off was observed across four experiments; specifically, high-frequency words were produced even when less aligned with messages. These results suggest that implicit decisions between words are impacted by accessibility. Of all the times that people have produced cat, sometimes they likely meant kitten.

The evolutionary origins of syntax: Event cognition in nonhuman primates

Languages tend to encode events from the perspective of agents, placing them first and in simpler forms than patients. This agent bias is mirrored by cognition: Agents are more quickly recognized than patients and generally attract more attention. This leads to the hypothesis that key aspects of language structure are fundamentally rooted in a cognition that decomposes events into agents, actions, and patients, privileging agents. Although this type of event representation is almost certainly universal across languages, it remains unclear whether the underlying cognition is uniquely human or more widespread in animals. Here, we review a range of evidence from primates and other animals, which suggests that agent-based event decomposition is phylogenetically older than humans. We propose a research program to test this hypothesis in great apes and human infants, with the goal to resolve one of the major questions in the evolution of language, the origins of syntax.

A syntax-lexicon trade-off in language production

Spoken language production involves selecting and assembling words and syntactic structures to convey one's message. Here we probe this process by analyzing natural language productions of individuals with primary progressive aphasia (PPA) and healthy individuals. Based on prior neuropsychological observations, we hypothesize that patients who have difficulty producing complex syntax might choose semantically richer words to make their meaning clear, whereas patients with lexicosemantic deficits may choose more complex syntax. To evaluate this hypothesis, we first introduce a frequency-based method for characterizing the syntactic complexity of naturally produced utterances. We then show that lexical and syntactic complexity, as measured by their frequencies, are negatively correlated in a large (n = 79) PPA population. We then show that this syntax-lexicon trade-off is also present in the utterances of healthy speakers (n = 99) taking part in a picture description task, suggesting that it may be a general property of the process by which humans turn thoughts into speech.

Access to verb bias and plausibility information during syntactic processing in adult Spanish-English bilinguals

In two experiments, we examine how proficient second language speakers integrate verb bias and plausibility information during online sentence comprehension. Spanish-English speakers and native English speakers read sentences in English in which a post-verbal noun phrase (NP) could be interpreted as a direct object or a sentential subject. To examine the role of verb bias, the post-verbal NP was preceded by a verb that is preferentially followed by a direct object (DO-bias verbs) or a sentential complement (SC-bias verbs). To assess the role of plausibility, the semantic fit between the verb and the post-verbal NP was either congruent or incongruent with the direct object interpretation. The results show that both second language speakers and native speakers used verb bias information to assign a grammatical role to the post-verbal ambiguous NP with small differences. Syntactic revision of an initially incorrect DO interpretation was facilitated by the presence of an implausible NP.

Person-based prominence guides incremental interpretation: Evidence from obviation in Ojibwe

Distinctions related to person and animacy have long been known to impact both the grammar and incremental processing in a way that can be described through "prominence" scales. We put the generalizability of these scales to the test by examining the processing effects of a typologically uncommon distinction known as obviation, which is found in Ojibwe, an Indigenous language of North America. Obviation contrasts the single most discourse-salient animate third person (proximate) with other non-salient third persons (obviative). Using a visual world paradigm, we show that obviation influences parsing and interpretation commitments under incremental ambiguity: Proximate nouns are assumed to be the agent of an action, while obviative nouns do not lead to strong incremental commitments. This result parallels previous findings in other languages with distinctions related to animacy and person, supporting a theory where the effect of prominence information in processing is the result of a common set of constraints derived from the alignment of scales related to person, syntactic position, and thematic role.

Languages are efficient, but for whom?

Human languages evolve to make communication more efficient. But efficiency creates trade-offs: what is efficient for speakers is not always efficient for comprehenders. How do languages balance these competing pressures? We focus on Zipf's meaning-frequency law, the observation that frequent wordforms have more meanings. On the one hand, this law could reflect a speaker-oriented pressure to reuse frequent wordforms. Yet human languages still maintain thousands of distinct wordforms, suggesting a countervailing, comprehender-oriented pressure. What balance of these pressures produces Zipf's meaning-frequency law? Using a neutral baseline, we find that frequent wordforms in real lexica have fewer homophones than predicted by their phonotactic structure: real lexica favor a comprehender-oriented pressure to reduce the cost of frequent disambiguation. These results help clarify the evolutionary drive for efficiency: human languages are subject to competing pressures for efficient communication, the relative magnitudes of which reveal how individual-level cognitive constraints shape languages over time.

Cerebral White Matter Mediation of Age-Related Differences in Picture Naming Across Adulthood

As people age, one of the most common complaints is difficulty with word retrieval. A wealth of behavioral research confirms such age-related language production deficits, yet the structural neural differences that relate to age-related language production deficits remains an open area of exploration. Therefore, the present study used a large sample of healthy adults across adulthood to investigate how age-related white matter differences in three key left-hemisphere language tracts may contribute to age-related differences in language ability. Specifically, we used diffusion tensor imaging to measure fractional anisotropy (FA) and radial diffusivity (RD) which are indicators of white matter structure. We then used a series of path models to test whether white matter from the superior longitudinal fasciculus (SLF), the inferior longitudinal fasciculus, and the frontal aslant tract (FAT) mediated age-related differences in one form of language production, picture naming. We found that FA, as well as RD from the SLF and FAT mediated the relation between age and picture naming performance, whereas a control tract (corticospinal) was not a mediator. Moreover, differences between mediation of picture naming and a control naming condition suggest that left SLF has a greater role in higher-order aspects of naming, such as semantic and lexical selection whereas left FAT is more sensitive to sensorimotor aspects of fluency or speech motor planning. These results suggest that dorsal white matter contributes to age-related differences in generating speech and may be particularly important in supporting word retrieval across adulthood.

Good-enough language production

Our ability to comprehend and produce language is one of humans' most impressive skills, but it is not flawless. We must convey and interpret messages via a noisy channel in ever-changing contexts and we sometimes fail to access an optimal combination of words and grammatical constructions. Here, we extend the notion of good-enough (GN) comprehension to GN production, which allows us to unify a wide range of phenomena including overly vague word choices, agreement errors, resumptive pronouns, transfer effects, and children's overextensions and regularizations. We suggest these all involve the accessing and production of a 'GN' option when a more-optimal option is inaccessible. The role of accessibility highlights the need to relate memory encoding and retrieval processes to language comprehension and production.

Effects of verbal tasks on driving simulator performance

We report results from a driving simulator paradigm we developed to test the fine temporal effects of verbal tasks on simultaneous tracking performance. A total of 74 undergraduate students participated in two experiments in which they controlled a cursor using the steering wheel to track a moving target and where the dependent measure was overall deviation from target. Experiment 1 tested tracking performance during slow and fast target speeds under conditions involving either no verbal input or output, passive listening to spoken prompts via headphones, or responding to spoken prompts. Experiment 2 was similar except that participants read written prompts overlain on the simulator screen instead of listening to spoken prompts. Performance in both experiments was worse during fast speeds and worst overall during responding conditions. Most significantly, fine scale time-course analysis revealed deteriorating tracking performance as participants prepared and began speaking and steadily improving performance while speaking. Additionally, post-block survey data revealed that conversation recall was best in responding conditions, and perceived difficulty increased with task complexity. Our study is the first to track temporal changes in interference at high resolution during the first hundreds of milliseconds of verbal production and comprehension. Our results are consistent with load-based theories of multitasking performance and show that language production, and, to a lesser extent, language comprehension tap resources also used for tracking. More generally, our paradigm provides a useful tool for measuring dynamical changes in tracking performance during verbal tasks due to the rapidly changing resource requirements of language production and comprehension.

Animacy-induced conflict in sentence production and comprehension from late childhood to adolescence

Some animacy configurations elicit parallel semantic interference in adult production and comprehension; for example, phrases with similar animate nouns like the man that the girl is hugging are more difficult than phrases like the doll that the girl is hugging. Yet little is known about how this interference manifests in development, particularly, beyond early childhood. Because frontal brain maturation and cognitive control improvements are known to occur across late childhood and adolescence, we investigated (a) how animacy-induced difficulty in production and comprehension vary with age throughout this period and (b) whether control processes reflected in the backward digit span (BDS) test uniquely explained these differences besides other language measures. In separate tasks, participants (8- to 15-year-old children; N = 91) heard auditory descriptions of depicted characters, produced characters' descriptions, and completed BDS, vocabulary, and reading experience tests. Results indicated that, as in adults, animacy modulated performance in production and comprehension across all ages. The animacy modulation interacted with age in production but not in comprehension, suggesting age-related animacy differences in production but relatively stable differences in comprehension despite processing speed improvements. Importantly, these age-related production differences were also modulated by the BDS scores; only participants with higher BDS scores displayed age-related animacy differences. Together, these results indicate that comprehension and production develop at different rates and that the development of BDS performance interacts with age-dependent changes in sentence planning from late childhood to adolescence. More generally, the study highlights tasks' disparities to be explained by cognitive and developmental models of language.

Morpheme Ordering Across Languages Reflects Optimization for Processing Efficiency

The ordering of morphemes in a word displays well-documented regularities across languages. Previous work has explained these in terms of notions such as semantic scope, relevance, and productivity. Here, we test a recently formulated processing theory of the ordering of linguistic units, the efficient tradeoff hypothesis (Hahn et al., 2021). The claim of the theory is that morpheme ordering can partly be explained by the optimization of a tradeoff between memory and surprisal. This claim has received initial empirical support from two languages. In this work, we test this idea more extensively using data from four additional agglutinative languages with significant amounts of morphology, and by considering nouns in addition to verbs. We find that the efficient tradeoff hypothesis predicts ordering in most cases with high accuracy, and accounts for cross-linguistic regularities in noun and verb inflection. Our work adds to a growing body of work suggesting that many ordering properties of language arise from a pressure for efficient language processing.

Using Rational Models to Interpret the Results of Experiments on Accent Adaptation

Exposure to unfamiliar non-native speech tends to improve comprehension. One hypothesis holds that listeners adapt to non-native-accented speech through distributional learning—by inferring the statistics of the talker's phonetic cues. Models based on this hypothesis provide a good fit to incremental changes after exposure to atypical native speech. These models have, however, not previously been applied to non-native accents, which typically differ from native speech in many dimensions. Motivated by a seeming failure to replicate a well-replicated finding from accent adaptation, we use ideal observers to test whether our results can be understood solely based on the statistics of the relevant cue distributions in the native- and non-native-accented speech. The simple computational model we use for this purpose can be used predictively by other researchers working on similar questions. All code and data are shared.