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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 48 1 What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity ... Çöltekin, Çağrı; Rama, Taraka. - : arXiv, 2022 BASE Show details 2 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling? ... Rama, Taraka; Vajjala, Sowmya. - : arXiv, 2021 Abstract: Development of language proficiency models for non-native learners has been an active area of interest in NLP research for the past few years. Although language proficiency is multidimensional in nature, existing research typically considers a single "overall proficiency" while building models. Further, existing approaches also considers only one language at a time. This paper describes our experiments and observations about the role of pre-trained and fine-tuned multilingual embeddings in performing multi-dimensional, multilingual language proficiency classification. We report experiments with three languages -- German, Italian, and Czech -- and model seven dimensions of proficiency ranging from vocabulary control to sociolinguistic appropriateness. Our results indicate that while fine-tuned embeddings are useful for multilingual proficiency modeling, none of the features achieve consistently best performance for all dimensions of language proficiency. All code, data and related supplementary material can ... : 10 pages ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2102.12971 https://dx.doi.org/10.48550/arxiv.2102.12971 BASE Hide details 6 Environmental factors affect the evolution of linguistic subgroups in Borneo ... Rama, Taraka; Smith, Alex. - : Humanities Commons, 2021 BASE Show details 7 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 8 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 9 Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping ... Cathcart, Chundra; Rama, Taraka. - : Association for Computational Linguistics, 2020 BASE Show details 10 Probing Multilingual BERT for Genetic and Typological Signals ... Rama, Taraka; Beinborn, Lisa; Eger, Steffen. - : arXiv, 2020 BASE Show details 11 Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping ... Cathcart, Chundra; Rama, Taraka. - : Humanities Commons, 2020 BASE Show details 12 A test of Generalized Bayesian dating: A new linguistic dating method Rama, Taraka; Wichmann, Søren In: PLoS One (2020) BASE Show details 13 Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping Cathcart, Chundra; Rama, Taraka In: Cathcart, Chundra; Rama, Taraka (2020). Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping. In: Fernández, Raquel; Linzen, Tal. Proceedings of the 24th Conference on Computational Natural Language Learning. Online: Association for Computational Linguistics, 620-630. (2020) BASE Show details 14 Towards unsupervised extraction of linguistic typological features from language descriptions ... Rama, Taraka; Wichmann, Søren. - : Humanities Commons, 2019 BASE Show details 15 An automated framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics ... List, Johann-Mattis; Rama, Taraka. - : Humanities Commons, 2019 BASE Show details 16 An automated framework for fast cognate detection and bayesian phylogenetic inference in computational historical linguistics ... Rama, Taraka; List, Johann-Mattis. - : Association for Computational Linguistics, 2019 BASE Show details 17 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 18 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 19 Towards unsupervised extraction of linguistic typological features from language descriptions - SI ... Wichmann, Søren; Rama, Taraka. - : Zenodo, 2019 BASE Show details 20 Towards unsupervised extraction of linguistic typological features from language descriptions - SI ... Wichmann, Søren; Rama, Taraka. - : Zenodo, 2019 BASE Show details Page: 1 2 3

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