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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 Hits 1 – 7 of 7 1 A Large-Scale Study of Machine Translation in the Turkic Languages ... Mirzakhalov, Jamshidbek; Babu, Anoop; Ataman, Duygu. - : arXiv, 2021 BASE Show details 2 Evaluating Multiway Multilingual NMT in the Turkic Languages ... Mirzakhalov, Jamshidbek; Babu, Anoop; Kunafin, Aigiz. - : arXiv, 2021 BASE Show details 3 Do RNN States Encode Abstract Phonological Processes? ... Silfverberg, Miikka; Tyers, Francis; Nicolai, Garrett. - : arXiv, 2021 BASE Show details 4 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 5 Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ... Nivre, Joakim; de Marneffe, Marie-Catherine; Ginter, Filip. - : arXiv, 2020 BASE Show details 6 Common Voice: A Massively-Multilingual Speech Corpus ... Ardila, Rosana; Branson, Megan; Davis, Kelly. - : arXiv, 2019 BASE Show details 7 Can LSTM Learn to Capture Agreement? The Case of Basque ... Ravfogel, Shauli; Tyers, Francis M.; Goldberg, Yoav. - : arXiv, 2018 Abstract: Sequential neural networks models are powerful tools in a variety of Natural Language Processing (NLP) tasks. The sequential nature of these models raises the questions: to what extent can these models implicitly learn hierarchical structures typical to human language, and what kind of grammatical phenomena can they acquire? We focus on the task of agreement prediction in Basque, as a case study for a task that requires implicit understanding of sentence structure and the acquisition of a complex but consistent morphological system. Analyzing experimental results from two syntactic prediction tasks -- verb number prediction and suffix recovery -- we find that sequential models perform worse on agreement prediction in Basque than one might expect on the basis of a previous agreement prediction work in English. Tentative findings based on diagnostic classifiers suggest the network makes use of local heuristics as a proxy for the hierarchical structure of the sentence. We propose the Basque agreement prediction ... : Accepted to "Analyzing and interpreting neural networks for NLP" workshop at EMNLP 2018 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1809.04022 https://dx.doi.org/10.48550/arxiv.1809.04022 BASE Hide details

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