Dialectal Variation Research Articles

Development of Phonemically Balanced Word List in Tamil for Speech Audiometry and Evaluation of Its Effectiveness in Adults.

Speech audiometry has become an essential component of the audiological test battery. Various speech audiometry materials have been developed in different languages and also revised later to meet criteria such as familiarity of the words, phonetic/phonemic balance, number of test items, and dialectal variations. The current study focused on developing a PB word list in Tamil for adults. The study was carried out in two phases. Phase I involved the development of a PB word list in Tamil. Phase II included evaluating the effectiveness of the developed word lists on adults with normal hearing sensitivity and hearing impairment. A total of 500 bisyllabic words were used in creating a master list. The collected words were subjected to familiarity testing with 40 native Tamil speakers. From the master list of 500 words, 90% of the participants rated 320 words as most familiar, and those words were included in the study. The 320 words were validated by eight experts working in the fields of audiology, speech-language pathology, linguistics, and psychology. The disagreed-with words were excluded from the list, and only 270 words that were agreed upon by all the experts were included in the final list. The final lists comprised four-word lists with 25 phonetically balanced (PB) words per list. The final word lists were recorded and tested for goodness. These final words were then administered to find SIS scores for two groups. Group I consisted of adults with 120 normal hearing sensitivity, and Group II consisted of 130 adults with hearing impairment. The results were analysed using SPSS software. The mean SIS in adults with normal hearing sensitivity ranged from 99.4 to 99.8%. The SIS of adults with normal hearing sensitivity revealed no significant difference (p > .05) with respect to gender, ears, or across the four-word lists. All four-word lists provided similar scores, establishing the equivalency of word lists in individuals with normal hearing sensitivity as well as hearing impairment. A psychometric curve of performance intensity function in adults with normal hearing sensitivity revealed that the SIS score increased as the sensation level increased from 10 to 40dBSL. There is a linear increase in SIS scores from 10 to 20dBSL. A plateau was attained at 40dBSL with 100% SIS scores. Thus, the present study recommends the use of 40dB SL for SIS testing. Mean SIS scores for adults with mild, moderate, and severe hearing loss were found to be 90.1%, 65.4%, and 41.8%, respectively. A significant decrease in SIS was observed as the degree of hearing loss increased.

Dialect diversity and labor income share in China

Language, as a prominent cultural characteristic of a region, has a lasting and extensive impact on economic performance. In this paper, we study the impact of dialect diversity on the labor income share in China. We find that regional dialect diversity depresses the labor income share in manufacturing firms in China. This effect holds up to robustness and endogeneity checks. We explore the transmission channels underlying this negative relationship and find that dialect diversity depresses the labor income share by decreasing worker bargaining power, and this channel can be further explained by the depressing effect of dialect diversity on the participation of firms in export trade and regional human capital accumulation. Heterogeneity analysis shows that the negative effect of dialect diversity on the labor share is weak or insignificant in sectors with strong worker bargaining power such as state-owned enterprises, labor-intensive enterprises, and high-skill-intensive enterprises.

Speaker Profiling Based on the Short-Term Acoustic Features of Vowels

Speech samples can provide valuable information regarding speaker characteristics, including their social backgrounds. Accent variations with speaker backgrounds reflect corresponding acoustic features of speech, and these acoustic variations can be analyzed to assist in tracking down criminals from speech samples available as forensic evidence. Speech accent identification has recently received significant consideration in the speech forensics research community. However, most works have utilized long-term temporal modelling of acoustic features for accent classification and disregarded the stationary acoustic characteristics of particular phoneme articulations. This paper analyzes short-term acoustic features extracted from a central time window of English vowel speech segments for accent discrimination. Various feature computation techniques have been compared for the accent classification task. It has been found that using spectral features as an input gives better performance than using cepstral features, with the lower filters contributing more significantly to the classification task. Moreover, detailed analysis has been presented for time window durations and frequency bin resolution to compute short-term spectral features concerning accent discrimination. Using longer time durations generally requires higher frequency resolution to optimize classification performance. These results are significant, as they show the benefits of using spectral features for speaker profiling despite the popularity of cepstral features for other speech-related tasks.

IL CONTATTO LINGUISTICO SLAVO-ROMANZO ATTRAVERSO IL LESSICO CULINARIO ISTRIANO

The article presents the Slavic-Romanesque linguistic contact on the example of selected Istrian terms in the field of culinary used by speakers of the Slovene-Istrian dialect. The centuries-long contact of the Romance and Slavic language traditions in Istria has resulted in numerous interferences that enrich Istrian dialect speeches and languages, among which the culinary field, influenced by many nations, especially the presence of the Venetian Republic and the constant contacts of country people from Istrian villages with the city's Istrian-Venetian speaking population. In Istria, two different cultural, social and economic circles were formed – in the cities, based on the monopolistic influence of Venice and its policy, the Italian language prevailed, and in the patriarchal peasant environment, the Slavic population - closed and isolated - preserved its language and traditions. In addition to the aforementioned Istrian-Slovenian and Istrian-Venetian dialect, which is still preserved by rare autochthonous Romance natives and immigrants from other Croatian Istrian coastal towns, today's inhabitants of Slovenian Istria also speak literary or standard Slovenian and Italian and several languages - e.g., Bosnian, Serbian, Croatian, Macedonian, Albanian, etc. - or their dialect variants, which have been brought here by many immigrants since the middle of the last century. New languages and cultures are constantly influencing colloquial Slovenian and Italian, but so far, they have not changed the dialect of this part of Istria, where at least since the 7ᵗʰ century only the dialect of Romance origin in towns and the dialect of Slavic origin in the countryside on the other side have kept the authenticity.

Capturing Thresholds and Continuities: Individual Differences as Predictors of L2 Sociolinguistic Repertoires in Adult Migrant Learners in Austria

Abstract This cross-sectional study addresses for the first time the non/linear association between individual learner differences of social, proficiency-related, and socioaffective nature (length of residence [LoR], varietal proficiency, exposure, and socioaffect) and differential outcomes in L2 sociolinguistic repertoires against the backdrop of the Austro-Bavarian naturalistic context. Forty adult migrant L2 German learners participated in a virtual reality experiment involving interactions with dialect-speaking and standard German-speaking interlocutors. The goal was to explore differences in participants’ interpersonal varietal behavior, that is, their addressee-relational variable use of standard German, Austro-Bavarian dialect, and mixture varieties. The results of Bayesian multinomial modeling indicated that LoR, dialect exposure, and proficiency, as well as reduced anxiety when speaking dialect, predicted differences in interpersonal varietal behavior. That said, a visual-quantitative analysis revealed critical thresholds concerning when, within these predictors, changes in sociolinguistic behavior manifested, indicating a rapid change in sociolinguistic development at the inter-individual level and ultimately facilitating initial insights as to how advanced one needs to be in order to engage in sociolinguistic variation in the Austro-Bavarian naturalistic context.

Automated conversion of numeral to words in Hausa language

Working with cardinal numbers is undoubtedly an integral part of our everyday life, which tells us about quantity. They are used for instance, in numeracy lessons, on receipts, slips, tellers in banks, to represent figures on documents, to tell time and are often represented inconsistently. However, the words form representations are often inconsistent with the standard Hausa. Standard Hausa as compared to other languages such as Arabic and British English, the Numeric System is characterized by a multitude of concatenations as well as dialect variations which causes misinterpretations and confusion. Also, initial findings show that no such automation published work has been done specifically in the numerical system of Standard Hausa language. In order to fill the gap, this study proposed an algorithm for converting numerals to words for the numeric system of Hausa language automatically in standard practice. The aim of the study is to examine the effect of iteration and mapping structures algorithm for converting numeral to cardinal form in standard Hausa language. The algorithm has been tested on approximately one hundred million sequences of numbers produced accurate results. The results showed that our method is successful in automating conversion of numerals to words with a high precision.

Using deep learning to analyze the psychological effects of COVID-19.

Sentiment Analysis (SA) automates the classification of the sentiment of people's attitudes, feelings or reviews employing natural language processing (NLP) and computational approaches. Deep learning has recently demonstrated remarkable success in the field of SA in many languages including Arabic. Arabic sentiment analysis, however, still has to be improved, due to the complexity of the Arabic language's structure, the variety of dialects, and the lack of lexicons. Moreover, in Arabic, anxiety as a psychological sentiment has not been the target of much research. This paper aims to provide solutions to one of the challenges of Arabic Sentiment Analysis (ASA) using a deep learning model focused on predicting the anxiety level during COVID-19 in Saudi Arabia. A psychological scale to determine the level of anxiety was built and validated. It was then used to create the Arabic Psychological Lexicon (AraPh) containing 138 different dialectical Arabic words that express anxiety, which was used to annotate our corpus (Aranxiety). Aranxiety comprises 955 Arabic tweets representing the level of user anxiety during COVID-19. Bi-GRU model with word embedding was then applied to analyze the sentiment of the tweets and to determine the anxiety level. For SA, the applied model achieved 88% on accuracy, 89% on precision, 88% on recall, and 87% for F1. A majority of 77% of tweets presented no anxiety, whereas 17% represented mild anxiety and a mere 6% represented high anxiety. The proposed model can be used by the Saudi Ministry of Health and members of the research community to formulate solutions to increase psychological resiliency among the Saudi population.

Analisis Desain Dan Ragam Bahasa "Beda Pemula Bikin Konten vs. Udah 1 Tahun Oleh Victoriawong"

The purpose of this qualitative research is to determine the types of language variety in the Tiktok content "Different Beginners Making Content Vs. Already 1 Year by Victoriawong" and to analyze the content design. After downloading videos from tiktok Victoriawong, data collection techniques are used to listen, record, identify, and classify. The purpose of this study is to analyze the design and describe the variety of languages used by content creators. Based on the results of an analysis of the variety of languages in Beda content, Beginners create Content Vs. It's been 1 year by Victoriawong, the most widely used is colloquial language with a percentage of 37% of the 10 words that contain colloquial language. The second highest percentage is journalistic variety 14.8%, spoken variety 14.8%, casual language, 14.8% of each of the 4 words that the researcher gets. The least presentation, namely the variety of formalities, is 11.1% of the 3 words. And the variety of languages that are not included in this content are the variety of dialects and the variety of businesses.

Language attitudes in fast-growing societies: new insights in the dynamism dimension

This paper explores broad language attitudes in Saudi Arabia. Using a verbal guise technique in an online questionnaire, the study investigates 568 Saudi participants’ attitudes toward four main dialects in the country. The results revealed a three-dimensional model that includes a two-type dynamism dimension and a solidarity dimension. The model adds to the previous discussion on language attitudes research, particularly to the topic of the dynamism dimension. The dimensional model contributes to language attitudes theory by challenging the dominance and significance of the dynamism dimension instead of the status dimension in rapidly urbanised countries such as Saudi Arabia. The findings also indicate that attitudes are affected by the social factors of dialect, gender, place of birth, and level of education. Three patterns emerged from social background effects: in-group loyalty, female participants’ willingness and acceptance towards dialect variations in Saudi Arabia and the impact of education in fostering less biased attitudes. The paper discusses the implications for Saudi Arabia’s educational system, proposing the inclusion of an educational programme in schools to enhance understanding of the value of linguistic and cultural diversity. Additionally, it highlights the role of media in reducing prejudice towards specific dialects.

VOLYN FOLK GEOGRAPHICAL TERMS FOR DENOTING SWAMP: STRUCTURAL AND SEMANTIC PECULIARITIES

The article is devoted to the study of folk names of bogs in Volyn region. The folk names of bogs collected by the author and published in the dictionary reflect the attitudes and perceptions of the local population, and also contain important information about the characteristics and features of bogs. The study of such names can contribute to the preservation of the cultural heritage associated with natural objects, enrichment of scientific terminology, and understanding of lexical and semantic features of the linguistic worldview. These names may contain valuable information about local conditions, flora, geographical features and ecological status of the bogs, which contributes to deeper understanding of the relationship between humans and the natural environment. In addition, the folk names of bogs can serve as additional sources of information for classifying and identifying different types of bogs in Volyn Polissia, as well as identifying local terminological variations and features. The linguistic approach helps to identify local terminological variations and features that are reflected in the lexical composition and semantics. The study is relevant for understanding the lexical fund, linguistic diversity and cultural heritage associated with the Volyn thelmography. The sphere of functioning, semantic shifts and peculiarities of the meaning of thelmographic terms influence the area of distribution of folk geographical terms. This lexical class is based on well-known terms, mainly of Proto-Slavic origin, which have wide semantic possibilities. In the studied area, folk geographical terms for swamps are represented by semantic, phonetic and grammatical variants and derivatives. The core of the analyzed lexical class is well-known terms, mostly of ProtoSlavic origin: брід, болoто, гать, гребля, трясовuнa, etc., which are characterized by wider semantic possibilities. In many subdialects, these lexemes are represented by dialectal phonetic variants: трасовuнa, трасовuско, грaбля, etc. Folk geographical terminology, in comparison with other language layers, is not characterized by imagery or emotionally expressive means. This folk geographical terminology, which partially leaves a trace in place names, is one of the oldest in origin. In addition to linguistic research, the study of folk geographical terminology can be useful for natural, historical, ethnological and other sciences.

Language on Trial

Abstract This essay draws on the case study we conducted of Rachel Jeantel's testimony in the 2013 trial of George Zimmerman v. The State of Florida.1 Although Jeantel, a close friend of Trayvon Martin, was an ear-witness (by cell phone) to all but the final minutes of Zimmerman's interaction with Trayvon, and testified for nearly six hours about it, her testimony was disregarded in jury deliberations. Through a linguistic analysis of Jeantel's speech, comments from a juror, and a broader contextualization of stigmatized speech forms and linguistic styles, we argue that the lack of acknowledgment of dialectal variation has harmful social and legal consequences for speakers of stigmatized dialects. Such consequences include limits on criminal justice, employment, and fair access to housing, as well as accessible and culturally sensitive education. We propose new calls to action, which include the ongoing work the coauthors are doing to address such harms, while also moving to inspire concerned citizens to act.

VARIASI BAHASA PADA CHANNEL YOUTUBE KRISTIAN B. HANSEN HIDUP 7 HARI BERSAMA SUKU DAYAK IBAN DI SUNGAI UTIK (KAJIAN SOSIOLINGUISTIK)

The purpose of this study was conducted to reveal language variations in terms of speakers used in everyday life, identify language variations used in social interactions, and identify language variations in reflecting the culture of the Iban Dayak tribe in Sungai Utik. The research method uses data collection techniques using documentation techniques and the data used is content analysis. The result of this research is that there are variations in the forms of dialect, idiolect, and sociolect. There were 9 dialect variations, 13 idiolect variations, and 8 sociolect variations that were observed. Then there is a social function in social interaction that reflects culture in Kristian's YouTube video channel b. Hansen lived 7 days with the Iban Dayak tribe on the Utik River.
 Keyword: Dayak Iban Language Variations, Sociolinguistics and Social Interaction

Left-Headedness in Compounds of a Right-Headed Language

This article deals with left-headedness in compounding in some dialectal varieties of Greek, a language which is predominantly right-headed. On the basis of data stored in DComp, a dialectal database of the University of Patras containing 17,019 entries, I claim that left-headedness has resulted from the interplay of endogenous and exogenous factors. Given that left-headed compounds appear in the varieties which have been under a long-lasting Romance control, and since Romance languages are mainly left-headed, the exogenous contact factor is principally responsible for the presence of left-headedness, seen as a pattern-borrowing case, in the broad sense. Nevertheless, the phenomenon was not unknown in Ancient Greek compounding, although it applied to a much lesser extent than right-headedness. In line with the view that structural transfer is possible if there is some compatibility between languages in contact, I also assume that the old endogenous property of left-headedness has facilitated the transfer of left-headed formations from Romance to Greek.

Does dialect diversity change household credit channel choice?

Dialect diversity can create social segmentation and thus impact financial activities, but few previous studies have examined this. This paper merges data from the China Household Finance Survey (CHFS 2019) with the dialect diversity database to examine the impact of dialect diversity on household credit channel choice. We find in areas with greater dialect diversity, households are more likely to choose formal credit channels. The potential mechanisms show that communication costs do not play a significant role, and dialectal diversity promotes household choices of formal credit channels by reducing social trust.

Assamese and BODO next Word Detection using LSTM

The official language of the Indian state of Assam is Assamese, an Eastern Indo-Aryan language. Assamese, the sole native Indo-Aryan language in the Assam Valley, has been heavily impacted by the nearby Tibeto-Burman languages in terms of lexicon, phonetics, and grammar. Its grammar is renowned for its highly inflected forms, and both honorific and non-honorific formulations can include a variety of pronouns and plural nouns. Additionally closely linked to Bengali, Assamese lacks grammatical gender distinctions like Oriya and Bengali. On the other hand, The Bodo language is a variety of dialects of the Tibeto-Burman branch of the Sino-Tibetan languages. Assam, Meghalaya, and Bangladesh are all home to speakers of the Bodo language, which is spoken in northeastern India. It shares linguistic kinship with the Dimasa, Tripura, and Lalunga languages and is written in Bengali, Latin, and Devanagari scripts. Another name for Next Word Prediction is Language Modeling. Predicting what word will be spoken right away requires commitment. It is one of the primary functions of NLP and has a wide range of uses. Our objective is to create this model as quickly and efficiently as possible. RNNs can interpret prior material and forecast words since they have a lengthy short-term memory, which might be useful for users when building sentences. This method creates words by using letter-by-letter prediction, or letter-by-letter prediction. Users can benefit from next word prediction, which makes typing faster and more accurate. The Assamese and Bodo languages rely on next word prediction since multiple characters can be created by pressing the same consonants combined with different vowels, vowel combinations, and special keys. As a result, we present a Long Short Term Memory (LSTM) network model for Assamese and Bodo next word prediction. With 63,300 point sentences, we test the suggested network model, and it achieves 96 per cent accuracy. In addition, we contrasted the suggested model with cutting-edge models like the LSTM. The proposed network model offers a promising outcome, according to experimental findings.

Socioeconomic Factors and Language Variation in Punjabi Speech Communities

Introduction: The social structures and linguistic diversity of Pakistan have garnered global attention. The intricate relationship between these factors arises from the coexistence of multiple languages, each intricately tied to specific social strata. Social status often correlates with language use: English is favored by the elite and upper class, while Urdu is more prevalent among the middle class. Regional languages are commonly employed by rural residents and those from lower socioeconomic backgrounds. Despite these variations, Pakistani society maintains a delicate balance between social stratification and linguistic richness, resulting in a culturally diverse environment. Methodology: This research explores the complex correlation between dialect variations and language attitudes within the district of Punjab, Pakistan. With its intriguing history and rich heritage, Punjab is the country's most populous and culturally diverse region? Its inhabitants represent diverse ethnic, linguistic, and religious backgrounds, making it an ideal setting for studying language attitudes. By examining dialect variation, we seek to enhance our understanding of its influence on language attitudes and its impact on the linguistic landscape of Punjab. To achieve our objectives, we employ a mixed-methods approach. Quantitative data analysis will comprehensively examine various dialectal features, while qualitative inquiry will elucidate community members' perceptions of these variations. Integrating these two methodologies allows us to unravel the dynamics of dialectal variation in the region. Results/Findings: Researchers comprehensively evaluated the vast variety of Punjabi dialects spoken in both urban and rural parts of Punjab. Data gathering involved surveys, interviews, and sociolinguistic observations. The results revealed an intricate configuration of dialect diversity shaped by urbanization, socioeconomic standing, and educational attainment. Additionally, the study explored the influence of other regional dialects on society, emphasizing language's role in shaping individual and group identities. Future Direction: The research emphasized the importance of language in influencing identity by examining how specific dialects are perceived in connection with linguistic prestige and social standing. Furthermore, the influence of social institutions news channels, educational institutions, and dialect diversity on linguistic perspectives and attitudes was observed. This study conducted an exhaustive examination of the intricate linguistic terrain of Punjab, Pakistan. The findings shed light on language policy and social identity implications, providing valuable insights for policymakers and researchers. Considering the impact of language policies, further exploration is needed to determine how they can facilitate or impede the spread of dialects. Understanding these dynamics will contribute to informed decisions regarding language preservation and propagation in Punjab.

Диалектизмы и архаизмы в охотничьей лексике якутского языка (на материале «Краткого словаря якутского языка» Г. Ф. Сивцева)

The aim of the research is to identify the dialect features and archaisms of the hunting vocabulary of the Yakut language. The paper analyzes dialectisms and archaisms in the hunting vocabulary of the Yakut language found in Gavriil Fedotovich Sivtsev’s “A Short Dictionary of the Yakut Language”. The research is novel in that it is the first in Yakut studies to identify archaisms and variants of dialects of terminological vocabulary involving the material of G. F. Sivtsev’s “A Short Dictionary of the Yakut Language”. In total, 15 dialectisms and 9 archaisms were analyzed. As a result, it has been determined that the literary word куобах ‘hare’ has the most dialect variants, which is explained by its wide area of distribution. Some names related to hunting in the modern Yakut language are used in other meanings, mainly figurative ones. Most of the names considered have a common Turkic origin and a Yakut origin, however, there are a small number of borrowed words from Russian, Mongolian and Evenki. Hunting-related dialectisms and archaisms recorded in this dictionary can serve as a valuable resource for extending the terminological vocabulary of the Yakut language.

Dakwah Argumentatif Gus Muwafiq Pada Channel Youtube Santri Nusantara

In general, language as a means of public communication is usually used by a certain group of people who are included in the language community. Language community are those who feel they have and use the same language. Community members have different backgrounds and social statuses. For example, there are differences in work, education, and so on. As a result of these differences there are language variations. This study aims to describe the forms of 1) idiolect variations, 2) dialect variations, 3) register variations, and 4) code switching variations carried out by K.H. Ahmad Muwafid. In today's digital era, humans are able to think quickly and instantly, modern humans now rely on the internet to fulfill their curiosity. Likewise, to hone knowledge that is broad and unlimited, now there is and can be accessed 24 hours on the internet, one of which is Youtube. Youtube is a website that provides various kinds of videos ranging from video clips to movies, as well as videos made by YouTube users themselves. On YouTube, many people express their ideas and opinions on various things, ranging from discussing the same things to discussing all existing things, both fiction and non-fiction. This is the same as what was conveyed by Ahmad Muwafiq or better known as Gus Muwafiq in one of his studies via the Gus Muwafiq Official YouTube channel. There, Gus Muwaffiq gave an in-depth study of the history of the arrival of Islam in the archipelago, with a number of things and customs that are still widely practiced by Muslims, of course, in a language that is also easy to understand.

Multilingual Speech Acquisition by Vietnamese-English-Speaking Children and Adult Family Members.

This article presents a large-scale example of culturally responsive assessment and analysis of multilingual Vietnamese-English-speaking children and their family members using the VietSpeech Protocol involving (a) examining all spoken languages, (b) comparing ambient phonology produced by family members, (c) including dialectal variants in the definition of accuracy, and (d) clustering participants with similar language experience. The VietSpeech participants (N = 154) comprised 69 children (2;0-8;10 [years;months]) and 85 adult family members with Vietnamese heritage living in Australia. Speech was sampled using the Vietnamese Speech Assessment (Vietnamese) and the Diagnostic Evaluation of Articulation and Phonology (English). Children's Vietnamese consonant accuracy was significantly higher when dialectal variants were accepted (percentage of consonants correct-dialect [PCC-D]: M = 87.76, SD = 8.18), compared to when only Standard Vietnamese was accepted as the correct production (percentage of consonants correct-standard [PCC-S]: M = 70.34, SD = 8.78), Cohen's d = 3.55 (large effect). Vietnamese voiced plosives, nasals, semivowels, vowels, and tones were more often correct than voiceless plosives and fricatives. Children's Standard Australian English consonant accuracy (PCC-S) was 82.51 (SD = 15.57). English plosives, nasals, glides, and vowels were more often correct than fricatives and affricates. Vietnamese word-initial consonants had lower accuracy than word-final consonants, whereas English consonant accuracy was rarely influenced by word position. Consonant accuracy and intelligibility were highest for children with high proficiency in both Vietnamese and English. Children's consonant productions were most similar to their mothers' than other adults or siblings' productions. Adults' Vietnamese consonants, vowels, and tones were more likely to match Vietnamese targets than their children's productions. Children's speech acquisition was influenced by cross-linguistic, dialectal, maturational, language experience, and environmental (ambient phonology) factors. Adults' pronunciation was influenced by dialectal and cross-linguistic factors. This study highlights the importance of including all spoken languages, adult family members, dialectal variants, and language proficiency to inform differential diagnosis of speech sound disorders and identify clinical markers in multilingual populations. https://doi.org/10.23641/asha.23290055.

PHONOLOGICAL VARIATION ON TOMUN LANGUAGES IN LAMANDAU, CENTRAL KALIMANTAN

The Tomun language speakers are the community of Lamandau district and parts of the East Kotawaringin in Central Kalimantan. This study aims to determine the language’s status and document its phonological variations. The method used was qualitative, with linguistic data originating from language utterances spoken by the community in Lubuk Hiju, Guci, Delang, and Nanga Bulik Village, in Lamandau Regency, Central Kalimantan Province. Tomun language has seven vowel phonemes /a/, /i/, /u/, /e/, /ԑ/, /o/, and /ↄ/, three long vowels /i:/, /a:/, and /u:/, eighteen consonants: /b/, /c/, /d/, /g/, /j/, /k/, /p/, /t/, /ŋ/, /m/, /n/, /r/, /h/, /s/, /ɹ̱/, /w/, /y/, /l/, and double consonant: /bm/, /tn/, /kŋ/, /mp/. The Lubuk Hiju village shows a distinctive phonological variation solely used in that area. The phonemes are /ɛ/, /kŋ/, /bm/, /tn/, and /ɹ̱/. Based on dialectometric calculations, the Tomun language is part of Malayic Dayak with dialect variations, namely the Guci, Bulik, Delang, and Lubuk Hiju dialects.