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AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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Abstract:
Each language has its own complex systems of word, phrase, and sentence construction, the guiding principles of which are often summarized in grammar descriptions for the consumption of linguists or language learners. However, manual creation of such descriptions is a fraught process, as creating descriptions which describe the language in "its own terms" without bias or error requires both a deep understanding of the language at hand and linguistics as a whole. We propose an automatic framework AutoLEX that aims to ease linguists' discovery and extraction of concise descriptions of linguistic phenomena. Specifically, we apply this framework to extract descriptions for three phenomena: morphological agreement, case marking, and word order, across several languages. We evaluate the descriptions with the help of language experts and propose a method for automated evaluation when human evaluation is infeasible. ... : 9 pages ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2203.13901 https://arxiv.org/abs/2203.13901
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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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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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