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https://doi.org/10.7275/zdg0-0914 

The study of language variation examines how language varies between and within different groups of speakers, shedding light on how we use language to construct identities and how social contexts affect language use. A common method is to identify instances of a certain linguistic feature - say, the zero copula construction - in a corpus, and analyze the feature’s distribution across speakers, topics, and other variables, to either gain a qualitative understanding of the feature’s function or systematically measure variation. In this paper, we explore the challenging task of automatic morphosyntactic feature detection in low-resource English varieties. We present a human-in-the-loop approach to generate and filter effective contrast sets via corpus-guided edits. We show that our approach improves feature detection for both Indian English and African American English, demonstrate how it can assist linguistic research, and release our fine-tuned models for use by other researchers. 

Purpose: The purpose of this assessment-focused clinical focus article is to increase familiarity with African American English (AAE)–speaking children’s pattern of language use in third- person singular contexts and to discuss implications for speech- language assessments of developing AAE-speaking children. Method: The clinical focus draws on descriptive case study data from four typically developing child speakers of AAE who are between the ages of 3 and 5 years. The children’s data from three different sources—sentence imitation, story retell, and play-based language samples—were subjected to linguistic analyses. Results: The three sources of linguistic data offered different insights into the children’s production of –s and other linguistic patterns in third-person singular contexts. Conclusions: This study underscores the importance of exploring developing child AAE from a descriptive approach to reveal different types of information about patterns of morphological marking in different linguistic contexts, which is crucial in assessing developing AAE. Implications for language assessment are discussed. 

This paper jointly considers syntactic, semantic, and phonological/phonetic factors in approaching an understanding of BIN, a remote past marker in African American English that has been described as “stressed.” It brings together data from the Corpus of Regional African American Language (CORAAL) and a production study in a small African American English-speaking community in southwest Louisiana to investigate the use and phonetic realization of BIN constructions. Only 20 instances of BIN constructions were found in CORAAL. This sparsity was not simply due to a dearth of semantic contexts for BIN in the interviews, since 122 instances of semantically equivalent been + temporal adverbial variants were also found. These results raise questions about the extent to which BIN constructions and been + temporal adverbial variants are used in different pragmatic and discourse contexts as well as in different speech styles. The production study elicited BIN and past participle been constructions in controlled syntactic and semantic environments. The phonetic realization of BIN was found to be distributed over the entire utterance rather than localized to BIN. BIN utterances were distinguished from past participle been utterances by having higher ratios of fundamental frequency (F0), intensity, and duration in BIN/ been relative to preceding and following material in the utterance. In both studies, BIN utterances were generally realized with a high F0 peak on BIN and a reduced F0 range in the post- BIN region, with variability in the presence and kinds of F0 movements utterance-initially and utterance-finally, as well as in F0 downtrends in the post- BIN region. 

Uniaxial order parameters of the nematic and columnar mesophases in the lyotropic chromonic liquid crystal Sunset Yellow FCF have been determined from deuteron nuclear magnetic resonance, where random confinement of the system by the dispersion of aerosil nanoparticles has been performed to help obtain the angular dependent spectra. The long-time evolution study of the order parameters shows that the system requires tens of hours to stabilize after a deep change in temperature, in contrast with the very fast assembly process of the aggregates. Finally, the degree of order of the water molecules, forced by the uniaxial environment, has been determined.