Language Groups Research Articles

Resemblance by meaning and culture between Singapore English and Singapore Mandarin

Abstract Resemblance between languages could be due to relatedness in terms of etymology. Varieties of the same language or dialects resemble one another in many ways because they are related. The languages within a language family, descendants of a common ancestral language, also resemble one another in some ways. To contemplate resemblance between two languages, one could consider their mutual intelligibility or other kinds of formal similarities. For example, while the Chinese languages are not mutually intelligible, they exhibit very similar grammatical patterns. They are all tonal and share a largely common writing system. This paper, however, proposes another way of appreciating language resemblance. It has been observed in the Singapore context that when two different languages, English and Mandarin, are adopted by a community of speakers as dominant languages, over time, the two languages become nativized and resemble each other in terms of meaning, ways of speaking and the cultural values they embody. The Singaporean bilingual speakers in question are offspring of people from Southern Chinese culture who, as recent as a few generations ago, spoke neither English nor Mandarin as a dominant language. This paper presents evidence to show how Singapore English and Singapore Mandarin, which are mutually unintelligible, may resemble each other in terms of meaning, ways of speaking and cultural values.

The origin of Uralic-speaking groups from a historical genetic point of view

Abstract In recent years, a number of primarily linguistic studies have dealt with the origin of the Uralic language family. These studies formulated important and, in some cases, novel results regarding the location of the Proto-Uralic homeland, the classification of linguistic branches, the chronology and geographical aspects of migration routes, and even the archaeological cultures embodying the migration routes. At the same time, our knowledge of the gene pool of the Uralic peoples has also increased significantly. The aim of the present study is to identify parallels and discrepancies between the latest linguistic and historical genetic results. We highlight several convergences between recent conclusions of linguistics and our model based on Y-chromosome data. A key finding is a correlation between Uralic language sub-branches and N subgroups. The direction and chronology of the eastward migration of these N subgroups may also shed new light on the Uralic-Chukchi, Uralic-Yukaghir and Uralic-Altaic linguistic parallels.

The Long-term Effect of Cantonese Usage under the Dominance of Mandarin on Academic Performance

Researches on the effect of bilingualism/diglossia on academic performance conclude disparately yet converge on the children of early school age. This research aims to figure out the longer-term influence of Cantonese usage on academic performance by conducting a large sample survey and the Chinese reading literacy assessment of PISA 2018 on 100 young citizens aged 18 to 25 in Guangdong province. In addition to reconfirming the vastness of Cantonese-Mandarin bilinguals in Guangdong province, China, The Language History Questionnaire 3 detected a categorically strong dominance of Mandarin in the Cantonese districts of Guangdong. Nevertheless, it is still not suggested that the Guangdong parents preclude Cantonese from family language planning out of worry about the childrens academic performance, drawing on the result that no negative effect of Cantonese usage was found in the correlation test.

Multi Task Learning Based Shallow Parsing for Indian Languages

Shallow Parsing is an important step for many Natural Language Processing tasks. Although shallow parsing has a rich history for resource rich languages, it is not the case for most Indian languages. Shallow Parsing consists of POS Tagging and Chunking. Our study focuses on developing shallow parsers for Indian languages. As part of shallow parsing we included morph analysis as well. For the study, we first consolidated available shallow parsing corpora for 7 Indian Languages (Hindi, Kannada, Bangla, Malayalam, Marathi, Urdu, Telugu) for which treebanks are publicly available. We then trained models to achieve state of the art performance for shallow parsing in these languages for multiple domains. Since analyzing the performance of model predictions at sentence level is more realistic, we report the performance of these shallow parsers not only at the token level, but also at the sentence level. We also present machine learning techniques for multitask shallow parsing. Our experiments show that fine-tuned contextual embedding with multi-task learning improves the performance of multiple as well as individual shallow parsing tasks across different domains. We show the transfer learning capability of these models by creating shallow parsers (only with POS and Chunk) for Gujarati, Odia, and Punjabi for which no treebanks are available. As a part of this work, we will be releasing the Indian Languages Shallow Linguistic (ILSL) benchmarks for 10 Indian languages including both the major language families Indo-Aryan and Dravidian as common building blocks that can be used to evaluate and understand various linguistic phenomena found in Indian languages and how well newer approaches can tackle them.

Multilingual Neural Machine Translation for Indic to Indic Languages

The method of translation from one language to another without human intervention is known as Machine Translation (MT). Multilingual neural machine translation (MNMT) is a technique for MT that builds a single model for multiple languages. It is preferred over other approaches, since it decreases training time and improves translation in low-resource contexts, i.e., for languages that have insufficient corpus. However, good-quality MT models are yet to be built for many scenarios such as for Indic-to-Indic Languages (IL-IL). Hence, this article is an attempt to address and develop the baseline models for low-resource languages i.e., IL-IL (for 11 Indic Languages (ILs)) in a multilingual environment. The models are built on the Samanantar corpus and analyzed on the Flores-200 corpus. All the models are evaluated using standard evaluation metrics i.e., Bilingual Evaluation Understudy (BLEU) score (with the range of 0 to 100). This article examines the effect of the grouping of related languages, namely, East Indo-Aryan (EI), Dravidian (DR), and West Indo-Aryan (WI) on the MNMT model. From the experiments, the results reveal that related language grouping is beneficial for the WI group only while it is detrimental for the EI group and it shows an inconclusive effect on the DR group. The role of pivot-based MNMT models in enhancing translation quality is also investigated in this article. Owing to the presence of large good-quality corpora from English (EN) to ILs, MNMT IL-IL models using EN as a pivot are built and examined. To achieve this, English-Indic Language (EN-IL) models are developed with and without the usage of related languages. Results show that the use of related language grouping is advantageous specifically for EN to ILs. Thus, related language groups are used for the development of pivot MNMT models. It is also observed that the usage of pivot models greatly improves MNMT baselines. Furthermore, the effect of transliteration on ILs is also analyzed in this article. To explore transliteration, the best MNMT models from the previous approaches (in most of cases pivot model using related groups) are determined and built on corpus transliterated from the corresponding scripts to a modified Indian language Transliteration script (ITRANS). The outcome of the experiments indicates that transliteration helps the models built for lexically rich languages, with the best increment of BLEU scores observed in Malayalam (ML) and Tamil (TA), i.e., 6.74 and 4.72, respectively. The BLEU score using transliteration models ranges from 7.03 to 24.29. The best model obtained is the Punjabi (PA)-Hindi (HI) language pair trained on PA-WI transliterated corpus.

Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms

This study examines and explores the effectiveness of various Machine Learning Algorithms (MLAs) in identifying intricate tonal contrasts in Chokri (ISO 639-3), an under-documented and endangered Tibeto-Burman language of the Sino-Tibetan language family spoken in Nagaland, India. Seven different supervised MLAs, viz., [Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naive Bayes (NB)], and one neural network (NN)-based algorithms [Artificial Neural Network (ANN)] are implemented to explore five-way tonal contrasts in Chokri. Acoustic correlates of tonal contrasts, encompassing fundamental frequency fluctuations, viz., f0 height and f0 direction, are examined. Contrary to the prevailing notion of NN supremacy, this study underscores the impressive accuracy achieved by the RF. Additionally, it reveals that combining f0 height and directionality enhances tonal contrast recognition for female speakers, while f0 directionality alone suffices for male speakers. The findings demonstrate MLAs’ potential to attain accuracy rates of 84–87% for females and 95–97% for males, showcasing their applicability in deciphering the intricate tonal systems of Chokri. The proposed methodology can be extended to predict multi-class problems in diverse fields such as image processing, speech classification, medical diagnosis, computer vision, and social network analysis.

A Contrastive Analysis of the Morphological and Syntactic Aspects of Urhobo and Ijaw Languages

The study undertakes a contrastive analysis of the morphological and syntactic aspects of Urhobo language and the Izon language, which are two indigenous languages spoken in the Niger Delta area in Nigeria. Contrastive analysis is used as the theory of preference to explore these languages, to show their similarity and points of divergence. The findings from the study attest to the similarity of these languages predictably as a result of their shared origin as they both are from the same Niger-Congo language family. There are cases of exact translations and linguistic interconnectedness between both languages in the morphological level. The study also confirms that there is noticeable difference in all levels of linguistics that makes both languages not mutually intelligible. The research’s implications include recommendations for language teaching and preservation as both languages are highly relevant for intercultural communication. The study also recommends that further research should be done in Nigeria’s indigenous languages as a way to respect and maintain unique linguistic identities. Scholars from different Nigerian languages should encourage the development and the growth of the indigenous languages to stop them from going into extinction. English language is the official language in Nigeria, it is the language of government, commerce, education, law, mass media and other areas of communication at the official level. The Nigerian language learner encounters so many problems in learning English. This paper reveals the importance of our indigenous languages.

Family language policy in a transnational family living in Finland: multilingual repertoire, language practices, and child agency.

Each multilingual transnational family is unique and thus deserves to be carefully studied in terms of its family language policy (FLP). Speaker-centered approaches can provide a deeper understanding of linguistic diversity in a multilingual setting. The studied Russian-Italian family is raising a multilingual boy (8:2) in Finland. The multilingual repertoire includes Russian, Italian, Finnish, English, and Hebrew. In this case-study, an ethnographic approach is used to explore the multilingual family repertoire by presenting their lived experiences and language practices. I discuss the FLP and child's active role in shaping the family's linguistic practices (child agency). The following methods were combined: semi-structured interviews, language background surveys, written diary entries, self-recordings of interactions in the family, and a language portrait that depicts the child's multilingual repertoire. The interviews and other recordings were transcribed manually. The following research questions guided the study: (1) How do the family members describe their FLP? (2) How does the FLP evolve through everyday interactions (language practices)? (3) How does the child exercise his agency in the family setting? The results reveal that the family's language practices follow predominantly an one person-one language (OPOL) strategy; consequently, the child speaks a different language with each parent. However, the analysis of the language ideologies reveals positive attitudes toward both multilingualism and all the languages in the family's repertoire, which explains the multilingual practices having multiplicity and unexpectedness. FLP is shaping the family language practices. Evidence of language hierarchy can be explained by a number of family-external and family-internal social factors.

Mesoamerican mantic names as an etymological source of Mixtec vocabulary

Abstract This article examines the word histories of 12 nouns (eight zoonyms, two other lifeform names, and two toponyms) in Mixtec, a shallow or emergent language family of Mesoamerica. It argues that these nouns—now morphologically opaque—are fused compounds that arose from the Mixtec vocabulary of the mantic count of 260 days, a temporal organization that was part of the common cultural heritage of pre-Hispanic Mesoamerican peoples. With the European colonization and persecution of Mesoamerican religious practices, the use of the mantic count was abandoned. It was at this time that the compounds would have been demotivated; that is, the internal morphological structure would have become inaccessible to speakers who could no longer relate it to the mantic cycle. This then enriched the lexicon, creating etymological pairs for the same, or similar, referents. It is suggested that the survival of the eight zoonyms may have to do with their use in the context of omens.

Unpacking children’s perspectives of multilingualism through language portraits: insights from a Polish pre-school in Australia

ABSTRACT This paper delves into the dynamics of language-based agency of six-year-old children raised in transnational families in Australia. The members of the focal group are four pre-schoolers, who while creating language portraits, offer insights into the truncated diversity of their linguistic repertoires. Through extent, position, choice of colour, use of symbols, and the accompanying written comments, the children communicate information about home language maintenance. Concomitant interviews unfold the overall picture of family language policies of the studied participants. Unsurprisingly, although the children’s opinions are shaped or even persuaded by their parents’ discourses, and considering the fact that parents do not normally discuss their family language policies with them, the young participants provide valuable and reliable perspectives on language management in their homes. Further, they exhibit agency in their family language policies, which are yet to be deliberated in terms of a multi-actor construct, whereby all family members have their own voices. That said, children exercise a freedom of language choice despite the conscious or unconscious linguistic efforts of their parents, which can be regarded as a manner of negotiating and impacting language use within the family.

Universal and cultural factors shape body part vocabularies

Every human has a body. Yet, languages differ in how they divide the body into parts to name them. While universal naming strategies exist, there is also variation in the vocabularies of body parts across languages. In this study, we investigate the similarities and differences in naming two separate body parts with one word, i.e., colexifications. We use a computational approach to create networks of body part vocabularies across languages. The analyses focus on body part networks in large language families, on perceptual features that lead to colexifications of body parts, and on a comparison of network structures in different semantic domains. Our results show that adjacent body parts are colexified frequently. However, preferences for perceptual features such as shape and function lead to variations in body part vocabularies. In addition, body part colexification networks are less varied across language families than networks in the semantic domains of emotion and colour. The study presents the first large-scale comparison of body part vocabularies in 1,028 language varieties and provides important insights into the variability of a universal human domain.

Οικογενειακές γλωσσικές πολιτικές Αλβανών μεταναστών: το σύνθετο τοπίο της γλωσσικής χρήσης ανάμεσα σε γονείς και παιδιά

Τhe paper presents a small-scale study on eight families of Albanian immigrants living in Crete, Greece, and their family language policies. The study draws from Bernard Spolsky’s framework and more recent approaches which foreground the children’s agency in shaping the family’s language policies. Our findings corroborate previous research among Albanian families in Greece showing that despite the dominance of the Greek language among second-generation speakers, the ethnic language is still very much in use in many families. In this paper we focus on the various patterns which arise with regard to communication between parents and children and on the ways in which the children’s language dominance and preference seem to interfere with the parents’ desires to maintain the ethnic language at home.

Turkic-Chinese lexical parallels within the framework of the phonological model SASYS

Relevance. Considering the constant development of global language contacts and cultural interactions, examining the mechanisms of interaction between the Turkic and Chinese languages is of great importance for identifying the mechanisms of borrowing words and analysing cultural and historical ties between these language groups. Purpose. The purpose of the study was to examine and identify the features of the processes of mutual influence, assimilation, and development of lexical elements of the Turkic and Chinese languages. Methodology. The study uses linguistic, comparative, and lexical-semantic methods to analyse etymological pairs and phonological adaptation between the Kyrgyz and Chinese languages. Results. The study identifies both similarities and differences in the phonetic implementation of single-root lexemes between Chinese and Turkic languages within the SASYS phonetic model. Attention is paid to sound combinations, accents, and phonetic features, establishing patterns in their structure and evolution. The phenomena of phonetic borrowing and adaptation in both languages are identified, and influenced by cultural and historical contexts. Additionally, the study confirms a tendency to simplify sound structures in some Turkic languages compared to more persistent phonetic forms in Chinese. Conclusions. The analysis determines the origin of various interlanguage and intercultural words. Single-root lexemes passing between Chinese and Turkic languages undergo systematic phonetic changes, adapting sound combinations and accents to conform to the phonetic rules of the recipient language. The results highlight the SASYS phonetic model's importance for understanding phonetic evolution and adaptation between these languages, emphasizing their deep historical and cultural ties. Keywords: interaction of languages; nostratics; etymological identity; sound changes

Understanding networked family language policy: a study among Bengali immigrants in Australia

ABSTRACT Family language policy (FLP) impacts the maintenance of heritage language(s) in the family domain, where parents play a crucial role in making language-related decisions for their children. Globalisation, immigration, the COVID-19 pandemic, and digital communication have all affected FLP. Studies are now calling for examining how dispersed transnational families incorporate digital practices as a part of their FLP, given the shift from the exclusive use of traditional face-to-face communication to the inclusion of digital communication media such as Skype and WhatsApp. This research examines the viability of utilising Spolsky’s tripartite framework to study the new concept of ‘networked FLP,’ a term coined by Curdt-Christiansen and Huang, which acknowledges dispersed families and digital communication. We examine data from ten Bengali immigrant families in Australia with dispersed senior family members living abroad. Our findings enrich the concept of networked FLP by highlighting the digital affordances that networked FLP provides to dispersed transnational families and the importance of socio-cultural and emotional factors when applying Spolsky's framework to FLP with digital media. We show that family bonding, maintaining heritage culture, and emotional connections are the primary motivations for digital communication, while language learning is secondary. Our study finds that it is essential to incorporate sociocultural and emotional factors when investigating networked FLP.

Bilingualism Predicts Affective Theory of Mind in Autistic Adults.

This study examined the impact of bilingualism on affective theory of mind (ToM) and social prioritization (SP) among autistic adults compared to neurotypical comparison participants. Fifty-two (25 autistic, 27 neurotypical) adult participants (ages 21-35 years) with varying second language (L2) experience, ranging from monolingual to bilingual, completed an affective ToM task. A subset of this sample also completed a dynamic eye-tracking task designed to capture differences in time spent looking at social aspects of a scene (SP). Four language groups were compared on task performance (monolingual autism and neurotypical, bilingual autism and neurotypical), followed by analyses examining the contribution of L2 experience, autism characteristics, and social face prioritization on affective ToM, controlling for verbal IQ. Finally, we conducted an analysis to identify the contribution of SP on affective ToM when moderated by autism status and L2 experience, controlling for verbal IQ. The monolingual autism group performed significantly worse than the other three groups (bilingual autism, monolingual neurotypical, and bilingual neurotypical) on the affective ToM task; however, there were no significant differences between the bilingual autism group compared to the monolingual and bilingual neurotypical groups. For autistic individuals, affective ToM capabilities were positively associated with both verbal IQ and L2 experience but did not relate to autism characteristics or SP during eye tracking. Neurotypical participants showed greater SP during the eye-tracking task, and SP did not relate to L2 or autism characteristics for autistic individuals. SP and verbal IQ predicted affective ToM performance across autism and neurotypical groups, but this relationship was moderated by L2 experience; SP more strongly predicted affective ToM performance among participants with lower L2 experience (e.g., monolingual) and had less of an impact for those with higher L2 experience. This study provides support for a bilingual advantage in affective ToM for autistic individuals. https://doi.org/10.23641/asha.25696083.

‘I need to learn Vietnamese to speak to my grandma’: the place of family relationships in family language policy

ABSTRACT This study focuses on family relationships and their potential to successfully impact family language policy. The interview data with two bilingual Vietnamese immigrant families in Australia were analysed to show examples of successful versus unsuccessful family language policy practices. Using Bourdieu’s (1986) notion of capital, the study explored the reciprocal relationships between family relationships (family social capital) and the children’s language competence (linguistic capital) through the families' accounts of their language use and practices, and the children’s aspirations for their future languageuse. Findings point to the significant role in fostering connectedness among family members, and its importance to home language interaction within immigrant families. The study reinforces the role of the family context as an important environment that influences immigrant children’s positive bilingual development.

“Our Kids are Going to Live their Future, Not our Past”: The Family Language Policies of Three Transnational Families

In recent decades, the field of family language policy (FLP) has expanded in breadth to reconceptualize the notion of family structure and the rich variety of motivations of transnational families. In an age spotlighted by the blurring of linguistic and cultural borders, this study was guided by one overarching question: As a parent, would you be willing to compromise the development of your child’s heritage language in exchange for your child increasing their social capital, improving their English language skills, and becoming a global citizen? Interviews were conducted with three sets of highly-educated, multilingual parents who lived abroad for work and to afford their children future linguistic, cultural, and economic opportunities. Results found that as the parents realized these opportunities, the children’s relationship to the parents’ first language and culture deteriorated; however, the parents took these challenges in stride, not losing sight of the skills their children were currently developing. Further, owing to their positive outlook, the parents considered their children’s heritage language attrition as a temporary outcome that the children could ameliorate down the road, should they so choose.

Understanding the genomic heterogeneity of North African Imazighen: from broad to microgeographical perspectives.

The strategic location of North Africa has led to cultural and demographic shifts, shaping its genetic structure. Historical migrations brought different genetic components that are evident in present-day North African genomes, along with autochthonous components. The Imazighen (plural of Amazigh) are believed to be the descendants of autochthonous North Africans and speak various Amazigh languages, which belong to the Afro-Asiatic language family. However, the arrival of different human groups, especially during the Arab conquest, caused cultural and linguistic changes in local populations, increasing their heterogeneity. We aim to characterize the genetic structure of the region, using the largest Amazigh dataset to date and other reference samples. Our findings indicate microgeographical genetic heterogeneity among Amazigh populations, modeled by various admixture waves and different effective population sizes. A first admixture wave is detected group-wide around the twelfth century, whereas a second wave appears in some Amazigh groups around the nineteenth century. These events involved populations with higher genetic ancestry from south of the Sahara compared to the current North Africans. A plausible explanation would be the historical trans-Saharan slave trade, which lasted from the Roman times to the nineteenth century. Furthermore, our investigation shows that assortative mating in North Africa has been rare.

Language Matters: Comparisons of Concussion Assessments Among English- and Spanish-Speaking Middle School Athletes.

The Child Sport Concussion Assessment Tool, fifth edition (Child SCAT5), is among the most widely used international pediatric concussion evaluation tools. However, the tool's English-only aspect may limit its use for patients who speak different languages. Prior researchers have suggested one's preferred language (ie, home language) could be associated with concussion assessments in adults, yet how this might affect pediatric athletes is not well understood. To compare baseline Child SCAT5 assessment outcomes between middle school athletes whose home language was Spanish and matched control athletes whose home language was English. Case-control study. Middle school athletics. Athletes self-reported their home language (ie, language spoken at home). Those indicating their home language was Spanish were individually matched to athletes who spoke English at home on age, sex, sport, school, and pertinent comorbidities (eg, concussion history). The final sample consisted of 144 athletes (Spanish home language = 72, English home language = 72). We used Mann-Whitney U tests to compare the Child SCAT5 component scores of the home language groups (ie, Spanish versus English). Athletes in the Spanish home language group scored lower on the Standardized Assessment of Concussion-Child version (P < .01, r = -0.25), Immediate Memory (P < .01, r = -0.45), and total modified Balance Error Scoring System scores (P < .01, r = -0.25) than the English home language group. Matched athletes whose home language was Spanish versus English scored differently on baseline Child SCAT5 assessment components. Those with the home language of Spanish scored lower on cognitive and balance tasks than those whose home language was English. These findings may serve as a rationale for the development of future concussion assessment tools to properly capture clinically relevant data regarding language differences among pediatric athletes.

Generalized multiscale finite element method for language competition modeling II: Online approach

In this paper, we consider language competition in a heterogeneous medium. The mathematical model considers bilingualism, population growth, and social pressure to use specific languages (diglossia). The transition from one language group to another is determined by probabilities that depend on status, group size, and spatial location. The model considers not only diffusive spread but also convective spread, which models seasonal migrations of speaker populations. We develop multiscale approaches for coarse grid modeling while maintaining reasonable accuracy. We present offline and online approaches based on the Generalized Multiscale Finite Element Method. We consider a model problem in a heterogeneous environment to test these approaches. The results show that both approaches can significantly reduce the discrete problem’s size. However, the online approach achieves better accuracy.