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Bina
The incredible story of the resilience and recovery of Australia's First Nations languages Australia's language diversity is truly breathtaking.This continent lays claim to the world's longest continuous collection of cultures, including over 440 unique languages and many more dialects.
eBook
Genealogical Classification of Semitic
This volume is the first of its kind to offer a detailed, monographic treatment of Semitic genealogical classification. The introduction describes the author's methodological framework and surveys the history of the subgrouping discussion in Semitic linguistics, and the first chapter provides a detailed description of the proto-Semitic basic vocabulary. Each of its seven main chapters deals with one of the key issues of the Semitic subgrouping debate: the East/West dichotomy, the Central Semitic hypothesis, the North West Semitic subgroup, the Canaanite affiliation of Ugaritic, the historical unity of Aramaic, and the diagnostic features of Ethiopian Semitic and of Modern South Arabian. The book aims at a balanced account of all evidence pertinent to the subgrouping discussion, but its main focus is on the diagnostic lexical features, heavily neglected in the majority of earlier studies dealing with this subject. The author tries to assess the subgrouping potential of the vocabulary using various methods of its diachronic stratification. The hundreds of etymological comparisons given throughout the book can be conveniently accessed through detailed lexical indices.
eBook
Examining mental health through social constructionism : the language of mental health
This book explores social constructionism and the language of mental distress. Mental health research has traditionally been dominated by genetic and biomedical explanations that provide only partial explanations. However, process research that utilises qualitative methods has grown in popularity. Situated within this new strand of research, the authors examine and critically assess some of the different contributions that social constructionism has made to the study of mental distress and to how those diagnosed are conceptualized and labeled. This will be an invaluable introduction and source of practical strategies for academics, researchers and students as well as clinical practitioners, mental health professionals, and others working with mental health such as educationalists and social workers.
Book
Development of novel automated language classification model using pyramid pattern technique with speech signals
Language classification using speeches is a complex issue in machine learning and pattern recognition. Various text and image-based language classification methods have been presented. But there are limited speech-based language classification methods in the literature. Also, the previously presented models classified limited numbers of languages, and few are accents. This work presents an automated handcrafted language classification model. The novel pyramid pattern is presented to extract the features extraction. Also, statistical features and maximum pooling are used to generate the features. We have developed our speech-language classification model using
two
datasets: (i) created a new big speech dataset containing 14,500 speeches in 29 languages, and (ii) used the VoxForge dataset. The neighborhood component analysis method is used to select the most informative 1000 features from the generated features, and these features are classified using a quadratic support vector machine classifier (QSVM). Our developed method yielded 98.87 ± 0.30% and 97.12 ± 1.27% accuracies for our and VoxForge datasets, respectively. Also, geometric mean, average precision, and F1-score evaluation parameters are calculated, and they are presented in the results section. This paper presents an accurate language classification model developed using
two
big speech-language datasets. Our results indicate the success of the proposed pyramid pattern-based language classification method in classifying various speech languages accurately.
Journal Article
The Diachrony of Classification Systems
Classification is a popular topic in typological, descriptive and theoretical linguistics. This volume is the first to deal specifically with the diachrony of linguistic systems of classification. It comprises original papers that examine the ways in which linguistic classification systems arise, change, and dissipate in both natural circumstances and in circumstances of attrition. The role of diffusion in such processes is explored, as well as the question of what can be diffused. The volume is not restricted to nominal systems of classification, but also includes papers dealing with the less well-known phenomenon of verbal classification. Languages from a wide spread of world regions are examined, including Africa, Amazonia, Australia, Eurasia, Oceania, and Mesoamerica. The volume will be of interest to linguistic typologists, descriptive linguists, historical linguists, and grammaticalization theorists.
eBook
Classification of Speech and Language Profiles in 4-Year-Old Children With Cerebral Palsy: A Prospective Preliminary Study
Purpose: In this study, the authors proposed and tested a preliminary speech and language classification system for children with cerebral palsy. Method: Speech and language assessment data were collected in a laboratory setting from 34 children with cerebral palsy (CP; 18 male, 16 female) with a mean age of 54 months (SD = 1.8). Measures of interest were vowel area, speech rate, language comprehension scores, and speech intelligibility ratings. Results: Canonical discriminant function analysis showed that 3 functions accounted for 100% of the variance among profile groups, with speech variables accounting for 93% of the variance. Classification agreement varied from 74% to 97% based on 4 different classification paradigms. Conclusions: The results of this study provide preliminary support for the classification of speech and language abilities of children with CP into 4 initial profile groups. Further research is necessary to validate the full classification system.
Journal Article
Dravidian language classification from speech signal using spectral and prosodic features
The interesting aspect of the Dravidian languages is a commonality through a shared script, similar vocabulary, and their common root language. In this work, an attempt has been made to classify the four complex Dravidian languages using cepstral coefficients and prosodic features. The speech of Dravidian languages has been recorded in various environments and considered as a database. It is demonstrated that while cepstral coefficients can indeed identify the language correctly with a fair degree of accuracy, prosodic features are added to the cepstral coefficients to improve language identification performance. Legendre polynomial fitting and the principle component analysis (PCA) are applied on feature vectors to reduce dimensionality which further resolves the issue of time complexity. In the experiments conducted, it is found that using both cepstral coefficients and prosodic features, a language identification rate of around 87% is obtained, which is about 18% above the baseline system using Mel-frequency cepstral coefficients (MFCCs). It is observed from the results that the temporal variations and prosody are the important factors needed to be considered for the tasks of language identification.
Journal Article
The Languages and Linguistics of Australia
The Languages and Linguistics of Australia: A Comprehensive Guide is part of the multi-volume reference work on the languages and linguistics of the continents of the world. The volume provides a thorough overview of Australian languages, including their linguistic structures, their genetic relationships, and issues of language maintenance and revitalisation. Australian English, Aboriginal English and other contact varieties are also discussed.
eBook