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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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MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages ...
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A Systematic Evaluation of Large Language Models of Code ...
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Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation ...
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Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
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In: Transactions of the Association for Computational Linguistics, 7, 313–325 ; ISSN: 2307-387X (2022)
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MasakhaNER: Named entity recognition for African languages
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In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03350962 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, ⟨10.1162/tacl⟩ (2021)
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Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
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Few-shot Language Coordination by Modeling Theory of Mind ...
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Systematic Inequalities in Language Technology Performance across the World's Languages ...
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Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models ...
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MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning ...
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XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation ...
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When Does Translation Require Context? A Data-driven, Multilingual Exploration ...
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Efficient Test Time Adapter Ensembling for Low-resource Language Varieties ...
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Distributionally Robust Multilingual Machine Translation ...
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