Length of Utterance, in Morphemes or in Words?: MLU3-w, a Reliable Measure of Language Development in Early Basque

Overuse of familiar phrases by individuals with Williams syndrome masks differences in language processing

We investigated whether individuals with Williams Syndrome (WS) produce language with a bias towards statistical properties of word combinations rather than grammatical rules, resulting in an overuse of holistically stored, familiar phrases. We analysed continuous speech samples from English children with WS (n = 12), typically developing (TD) controls matched on chronological age (n = 15) and TD controls matched on language age (n = 14). Alongside word count, utterance length, grammatical complexity, and morphosyntactic errors, we measured familiarity of expressions by computing collocation strength of each word combination. The WS group produced stronger collocations than both control groups. Moreover, the WS group produced fewer complex sentences, shorter utterances, and more frequent function words than chronological-age matched controls. Language in WS may appear more typical than it is because familiar, holistically processed expressions mask grammatical and other difficulties.

The contribution of the amount of linguistic exposure to bilingual language development: Longitudinal evidence from preschool years

This study examined the influence of linguistic input on the development of productive and receptive skills across three fundamental language domains: lexico-semantics, syntax, and phonology. Seventy-one (35 female) Basque-Spanish bilingual children were assessed at three time points (Fall 2018, Summer 2019, Winter 2021), between 4 and 6 years of age, by specifically examining language knowledge and spontaneous language use in each language. A direct impact of the amount of linguistic exposure on the longitudinal growth of lexico-semantic and syntactic abilities was observed in both languages. While phonological skills were not directly influenced by exposure, they were more proficient in the more exposed language. The use of lexically diverse and syntactically rich utterances developed relatively later than language knowledge, both supported by the amount of linguistic exposure.

Are Written Syntax Features Related to Writing Quality? An Examination of Spanish and English Compositions by Bilingual Children

PURPOSE

There is limited research on the writing of young Spanish-English bilinguals and their writing in both languages. In the current study, we addressed whether written syntax features differed by language (English and Spanish) and varied as a function of grade level, English learner status, and instructional program (dual or English immersion). We also examined whether Spanish and English syntax features were related cross-linguistically and related to writing quality within languages and whether these relations to writing quality were moderated by grade level, English learner status, and instructional program.

METHOD

We examined written syntax features of Spanish and English essays by simultaneous and emergent bilinguals in Grades 1, 2, and 3 in either Spanish-English dual immersion or English immersion instruction in the United States (N = 278). Essays were scored for quality and evaluated for mean length of T-units, number of verbs, number of noun agreement words, and number of subject agreement words accurately conjugated.

RESULTS

Written syntax features significantly differed by language and varied as a function of grade level, English learner status, and instructional program. Grades 2 and 3 wrote longer utterances, more verbs, and greater noun agreement accuracy than Grade 1. Syntax features were related to writing quality within languages, but Spanish relations were weaker for English learners than non-English learners and for dual immersion students than English immersion students.

CONCLUSION

Our findings suggest written syntax features may be useful for evaluation of English-Spanish simultaneous and emergent bilinguals' writing.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.25927366.

Increase in Linguistic Complexity in Older Adults During COVID-19

The reported psychological impact of the COVID-19 pandemic and related public health measures included a decline in cognitive functioning in older adults. Cognitive functioning is known to correlate with the lexical and syntactic complexity of an individual's linguistic productions. We examined written narratives from the CoSoWELL corpus (v 1.0), collected from over 1,000 U.S. and Canadian older adults (55+ y.o.) before and during the first year of the pandemic. We expected a decrease in the linguistic complexity of the narratives, given the oft-reported reduction in cognitive functioning associated with COVID-19. Contrary to this expectation, all measures of linguistic complexity showed a steady increase from the pre-pandemic level throughout the first year of the global lockdown. We discuss possible reasons for this boost in light of existing theories of cognition and offer a speculative link between the finding and reports of increased creativity during the pandemic.

Mean Length of Utterance: A study of early language development in four Southern Bantu languages

Mean Length of Utterance (MLU) has been widely used to measure children's early language development in a variety of languages. This study investigates the utility of MLU to measure language development in four agglutinative and morphologically complex Southern Bantu languages. Using a variant of MLU, MLU3, based on the three longest sentences children produced, we analysed the utterances of 448 toddlers (16-32 months) collected using the MacArthur-Bates Communicative Development Inventory, a parent-report tool. MLU3, measured in words (MLU3-w) and morphemes (MLU3-m), significantly correlated with age and other indices of language growth (e.g., grammar and vocabulary). MLU3 measures also accounted for significant variance in language development particular morphosyntactic development. Our results suggest that MLU3-m is a more sensitive measure than MLU3-w. We conclude that MLU measured in morphemes provides a useful addition to other indices of language development in these kinds of morphologically complex languages.

Lexical and syntactic deficits analyzed via automated natural language processing: the new monitoring tool in multiple sclerosis

Background

Impairment of higher language functions associated with natural spontaneous speech in multiple sclerosis (MS) remains underexplored.

Objectives

We presented a fully automated method for discriminating MS patients from healthy controls based on lexical and syntactic linguistic features.

Methods

We enrolled 120 MS individuals with Expanded Disability Status Scale ranging from 1 to 6.5 and 120 age-, sex-, and education-matched healthy controls. Linguistic analysis was performed with fully automated methods based on automatic speech recognition and natural language processing techniques using eight lexical and syntactic features acquired from the spontaneous discourse. Fully automated annotations were compared with human annotations.

Results

Compared with healthy controls, lexical impairment in MS consisted of an increase in content words (p = 0.037), a decrease in function words (p = 0.007), and overuse of verbs at the expense of noun (p = 0.047), while syntactic impairment manifested as shorter utterance length (p = 0.002), and low number of coordinate clause (p < 0.001). A fully automated language analysis approach enabled discrimination between MS and controls with an area under the curve of 0.70. A significant relationship was detected between shorter utterance length and lower symbol digit modalities test score (r = 0.25, p = 0.008). Strong associations between a majority of automatically and manually computed features were observed (r > 0.88, p < 0.001).

Conclusion

Automated discourse analysis has the potential to provide an easy-to-implement and low-cost language-based biomarker of cognitive decline in MS for future clinical trials.

The role of Function Words to build syntactic knowledge in French-speaking children

The question of how children learn Function Words (FWs) is still a matter of debate among child language researchers. Are early multiword utterances based on lexically specific patterns or rather abstract grammatical relations? In this corpus study, we analyzed FWs having a highly predictable distribution in relation to Mean Length Utterance (MLU) an index of syntactic complexity in a large naturalistic sample of 315 monolingual French children aged 2 to 4 year-old. The data was annotated with a Part Of Speech Tagger (POS-T), belonging to computational tools from CHILDES. While eighteen FWs strongly correlated with MLU expressed either in word or in morpheme, stepwise regression analyses showed that subject pronouns predicted MLU. Factor analysis yielded a bifactor hierarchical model: The first factor loaded sixteen FWs among which eight had a strong developmental weight (third person singular verbs, subject pronouns, articles, auxiliary verbs, prepositions, modals, demonstrative pronouns and plural markers), whereas the second factor loaded complex FWs (possessive verbs and object pronouns). These findings challenge the lexicalist account and support the view that children learn grammatical forms as a complex system based on early instead of late structure building. Children may acquire FWs as combining words and build syntactic knowledge as a complex abstract system which is not innate but learned from multiple word input sentences context. Notably, FWs were found to predict syntactic development and sentence complexity. These results open up new perspectives for clinical assessment and intervention.

An Evaluation of Expedited Transcription Methods for School-Age Children's Narrative Language: Automatic Speech Recognition and Real-Time Transcription

Purpose This study examined the accuracy and potential clinical utility of two expedited transcription methods for narrative language samples elicited from school-age children (7;5-11;10 [years;months]) with developmental language disorder. Transcription methods included real-time transcription produced by speech-language pathologists (SLPs) and trained transcribers (TTs) as well as Google Cloud Speech automatic speech recognition. Method The accuracy of each transcription method was evaluated against a gold-standard reference corpus. Clinical utility was examined by determining the reliability of scores calculated from the transcripts produced by each method on several language sample analysis (LSA) measures. Participants included seven certified SLPs and seven TTs. Each participant was asked to produce a set of six transcripts in real time, out of a total 42 language samples. The same 42 samples were transcribed using Google Cloud Speech. Transcription accuracy was evaluated through word error rate. Reliability of LSA scores was determined using correlation analysis. Results Results indicated that Google Cloud Speech was significantly more accurate than real-time transcription in transcribing narrative samples and was not impacted by speech rate of the narrator. In contrast, SLP and TT transcription accuracy decreased as a function of increasing speech rate. LSA metrics generated from Google Cloud Speech transcripts were also more reliably calculated. Conclusions Automatic speech recognition showed greater accuracy and clinical utility as an expedited transcription method than real-time transcription. Though there is room for improvement in the accuracy of speech recognition for the purpose of clinical transcription, it produced highly reliable scores on several commonly used LSA metrics. Supplemental Material https://doi.org/10.23641/asha.15167355.

Taking parent personality and child temperament into account in child language development

Individual differences have become increasingly important in the study of child development and language. However, despite the important role parents play in children's language, no work has examined how parent personality impacts language development. The current study examines the impact of parent personality as well as child temperament on language development in 460 16- to 30-month-old children and 328 31- to 42-month-old children. Findings from both groups suggest multiple aspects of children's language abilities are correlated with their parent's personality. Specifically, parent consciousness, openness, and agreeableness positively correlate with child vocabulary size and other language abilities. Results also replicate and expand research on child temperament and language - child effortful control and surgency were positively correlated, and negative affect negatively correlated with most language abilities even after controlling for parent personality. Critically, parent and child traits appear to impact a child's language abilities above and beyond well-known predictors of language, such as age.

Maternal Reminiscing and Autobiographical Memory Features of Mother-Child Dyads in a Cross-Cultural Context

Maternal reminiscing styles and mother-child memory features were examined in a cross-cultural context. Fifty-five Chinese (Guangzhou, China) and 48 Australian (Melbourne, Australia) mother-child dyads (child age: 3-6 years) independently retrieved autobiographical memories and jointly discussed past events. Australian mothers used greater elaborative and supportive reminiscing and provided more specific memories than Chinese mothers. Australian children provided greater memory elaboration than Chinese children, but they did not differ in memory specificity. Maternal reminiscing styles and cultural group were independently predictive of child memory elaboration but not specificity. Nonetheless, moderation analyses showed that the two maternal reminiscing styles (elaborative and supportive) interacted to predict child memory specificity. These findings indicate the importance of culture and types of reminiscing on memory development.

Mean Length of Utterance and Other Quantitative Measures of Spontaneous Speech in Russian-Speaking Children

Purpose This study investigated methodological and theoretical aspects of using mean length of utterance (MLU) and its alternatives in cross-linguistic research and, in particular, its applicability to Russian-a language with a rich system of grammatical and derivational morphemes. Method We collected audio recordings of spontaneous speech samples from 27 Russian-speaking children aged between 2;9 and 5;7 (years;months) over individual play sessions. For each participant, we transcribed the first 100 complete utterances and coded them for several types of utterance length measurements, including length in morphemes (grammatical and derivational), words, and syllables. At a sample level, we calculated the average number of produced unique grammatical forms, getting an alternative quantitative estimate of children's morphosyntactic abilities. Results A combination of Pearson correlation analysis and Bland-Altman difference plots established that MLU can be reliably used in Russian-speaking children aged around 3;0. The average number of unique grammatical forms remains a sensitive measurement of language capabilities even in older children aged over 3;6. Two quantitative measurements, MLU in syllables and morphemes, show good agreement, suggesting that these measurements can be used interchangeably across studies. Sample size analysis revealed that samples under 75 utterances do not provide sufficient reliability for estimating a child's MLU. Conclusions This article demonstrated that MLU can be used in young Russian-speaking children under 3;0-3;6. Also, we showed that the classical morpheme calculation approach can be substituted with counting syllables, which is more time efficient in the absence of automated parsers and is potentially more appropriate for some (e.g., polysynthetic) languages. Our proposed alternative to MLU-the average number of grammatical forms in a sample-appears to be a more sensitive measurement of language capabilities even in older children.