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How Efficiency Shapes Human Language
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In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022)
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When classifying grammatical role, BERT doesn't care about word order... except when it matters ...
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Grammatical cues are largely, but not completely, redundant with word meanings in natural language ...
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When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Efficient communication and the organization of the lexicon
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In: OUP volume on the Mental Lexicon ; https://hal.archives-ouvertes.fr/hal-03482414 ; OUP volume on the Mental Lexicon, In press, ⟨10.31234/osf.io/4an6v⟩ (2021)
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Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT ...
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Multilingual BERT, Ergativity, and Grammatical Subjecthood ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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REPLICATING A FUNDAMENTAL FINDING IN PSYCHOLINGUISTICS: SYNTACTIC PRIMING ...
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How (Non-)Optimal is the Lexicon? ...
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Abstract:
The mapping of lexical meanings to wordforms is a major feature of natural languages. While usage pressures might assign short words to frequent meanings (Zipf's law of abbreviation), the need for a productive and open-ended vocabulary, local constraints on sequences of symbols, and various other factors all shape the lexicons of the world's languages. Despite their importance in shaping lexical structure, the relative contributions of these factors have not been fully quantified. Taking a coding-theoretic view of the lexicon and making use of a novel generative statistical model, we define upper bounds for the compressibility of the lexicon under various constraints. Examining corpora from 7 typologically diverse languages, we use those upper bounds to quantify the lexicon's optimality and to explore the relative costs of major constraints on natural codes. We find that (compositional) morphology and graphotactics can sufficiently account for most of the complexity of natural codes -- as measured by code ... : Tiago Pimentel and Irene Nikkarinen contributed equally to this work. Accepted at NAACL 2021. This is the camera ready version ...
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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.2104.14279 https://arxiv.org/abs/2104.14279
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How (Non-)Optimal is the Lexicon?
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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