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AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Do Context-Aware Translation Models Pay the Right Attention? ...
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When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ...
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When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection ...
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Do Context-Aware Translation Models Pay the Right Attention? ...
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DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries ...
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SIGTYP 2020 Shared Task: Prediction of Typological Features ...
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Automatic Extraction of Rules Governing Morphological Agreement ...
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Abstract:
Creating a descriptive grammar of a language is an indispensable step for language documentation and preservation. However, at the same time it is a tedious, time-consuming task. In this paper, we take steps towards automating this process by devising an automated framework for extracting a first-pass grammatical specification from raw text in a concise, human- and machine-readable format. We focus on extracting rules describing agreement, a morphosyntactic phenomenon at the core of the grammars of many of the world's languages. We apply our framework to all languages included in the Universal Dependencies project, with promising results. Using cross-lingual transfer, even with no expert annotations in the language of interest, our framework extracts a grammatical specification which is nearly equivalent to those created with large amounts of gold-standard annotated data. We confirm this finding with human expert evaluations of the rules that our framework produces, which have an average accuracy of 78%. We ... : Accepted at EMNLP 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2010.01160 https://dx.doi.org/10.48550/arxiv.2010.01160
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A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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