Computational analysis of Gondi dialects

Rama, Taraka; Çöltekin, Çağrı; Sofroniev, Pavel

doi:10.18653/v1/w17-1203

Cited by 4 publications

(2 citation statements)

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“…In addition, existing lexical comparative datasets for Dravidian are limited. Grierson [ 32 ] features 19 Dravidian languages; Beine [ 33 ] is a survey of Gondi dialects in 46 locations (see [ 34 ] for a computational analysis). The Dravidian Etymological Dictionary , revised 2nd edition [ 22 ] features information on 29 languages, but is heavily skewed towards written languages, and especially towards the four largest Dravidian languages Kannada, Malayalam, Tamil and Telugu.…”

Section: Methodsmentioning

confidence: 99%

A Bayesian phylogenetic study of the Dravidian language family

et al. 2018

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The Dravidian language family consists of about 80 varieties (Hammarström H. 2016 Glottolog 2.7) spoken by 220 million people across southern and central India and surrounding countries (Steever SB. 1998 In The Dravidian languages (ed. SB Steever), pp. 1–39: 1). Neither the geographical origin of the Dravidian language homeland nor its exact dispersal through time are known. The history of these languages is crucial for understanding prehistory in Eurasia, because despite their current restricted range, these languages played a significant role in influencing other language groups including Indo-Aryan (Indo-European) and Munda (Austroasiatic) speakers. Here, we report the results of a Bayesian phylogenetic analysis of cognate-coded lexical data, elicited first hand from native speakers, to investigate the subgrouping of the Dravidian language family, and provide dates for the major points of diversification. Our results indicate that the Dravidian language family is approximately 4500 years old, a finding that corresponds well with earlier linguistic and archaeological studies. The main branches of the Dravidian language family (North, Central, South I, South II) are recovered, although the placement of languages within these main branches diverges from previous classifications. We find considerable uncertainty with regard to the relationships between the main branches.

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Section: Methodsmentioning

confidence: 99%

A Bayesian phylogenetic study of the Dravidian language family

et al. 2018

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“…Rama and Çöltekin (2016) and Rama et al (2017) develop an LSTM-based method for representing the phonological structure of individual word forms across closely related speech varieties. Each string is fed to a unidirectional or bidirectional LSTM autoencoder, which learns a continuous latent multidimensional representation of the sequence.…”

Section: Lstm Autoencodermentioning

confidence: 99%

Toward a deep dialectological representation of

Cathcart¹

2019

Proceedings of the Sixth Workshop On

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This paper presents a new approach to disentangling inter-dialectal and intra-dialectal relationships within one such group, the Indo-Aryan subgroup of Indo-European. I draw upon admixture models and deep generative models to tease apart historic language contact and language-specific behavior in the overall patterns of sound change displayed by Indo-Aryan languages. I show that a "deep" model of Indo-Aryan dialectology sheds some light on questions regarding interrelationships among the Indo-Aryan languages, and performs better than a "shallow" model in terms of certain qualities of the posterior distribution (e.g., entropy of posterior distributions), and outline future pathways for model development.

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The Cross-Evaluation Crux for Computational Phylogenetic Linguistics

Afanasev

2024

Springer Geography

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Computational analysis of Gondi dialects

Cited by 4 publications

References 15 publications

A Bayesian phylogenetic study of the Dravidian language family

A Bayesian phylogenetic study of the Dravidian language family

Toward a deep dialectological representation of

The Cross-Evaluation Crux for Computational Phylogenetic Linguistics

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