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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 – 13 of 13 1 Finding Concept-specific Biases in Form--Meaning Associations ... Pimentel, Tiago; Roark, Brian; Wichmann, Søren; Cotterell, Ryan; Blasi, Damián. - : arXiv, 2021 Abstract: This work presents an information-theoretic operationalisation of cross-linguistic non-arbitrariness. It is not a new idea that there are small, cross-linguistic associations between the forms and meanings of words. For instance, it has been claimed (Blasi et al., 2016) that the word for "tongue" is more likely than chance to contain the phone [l]. By controlling for the influence of language family and geographic proximity within a very large concept-aligned, cross-lingual lexicon, we extend methods previously used to detect within language non-arbitrariness (Pimentel et al., 2019) to measure cross-linguistic associations. We find that there is a significant effect of non-arbitrariness, but it is unsurprisingly small (less than 0.5% on average according to our information-theoretic estimate). We also provide a concept-level analysis which shows that a quarter of the concepts considered in our work exhibit a significant level of cross-linguistic non-arbitrariness. In sum, the paper provides new methods to ... : Accepted at NAACL 2021. This is the camera ready version. Code is available in https://github.com/rycolab/form-meaning-associations ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2104.06325 https://arxiv.org/abs/2104.06325 BASE Hide details 2 Finding Concept-specific Biases in Form–Meaning Associations ... Pimentel, Tiago; Roark, Brian; Wichmann, Søren. - : ETH Zurich, 2021 BASE Show details 3 Disambiguatory Signals are Stronger in Word-initial Positions ... Pimentel, Tiago; Cotterell, Ryan; Roark, Brian. - : arXiv, 2021 BASE Show details 4 Finding Concept-specific Biases in Form–Meaning Associations Roark, Brian; Blasi, Damián; Pimentel, Tiago... In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021) BASE Show details 5 Disambiguatory Signals are Stronger in Word-initial Positions Pimentel, Tiago; Cotterell, Ryan; Roark, Brian In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 6 Disambiguatory Signals are Stronger in Word-initial Positions ... Pimentel, Tiago; Cotterell, Ryan; Roark, Brian. - : ETH Zurich, 2021 BASE Show details 7 Finding Concept-specific Biases in Form--Meaning Associations ... NAACL 2021 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021 BASE Show details 8 Phonotactic Complexity and its Trade-offs ... Pimentel, Tiago; Roark, Brian; Cotterell, Ryan. - : arXiv, 2020 BASE Show details 9 Phonotactic Complexity and Its Trade-offs ... Pimentel, Tiago; Roark, Brian; Cotterell, Ryan. - : ETH Zurich, 2020 BASE Show details 10 Phonotactic Complexity and Its Trade-offs Cotterell, Ryan; Pimentel, Tiago; Roark, Brian In: Transactions of the Association for Computational Linguistics, 8 (2020) BASE Show details 11 Are All Languages Equally Hard to Language-Model? Cotterell, Ryan; Mielke, Sebastian J; Eisner, Jason... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 12 Rethinking Phonotactic Complexity Pimentel, Tiago; Roark, Brian; Cotterell, Ryan In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 13 Are All Languages Equally Hard to Language-Model? ... Cotterell, Ryan; Mielke, Sabrina J.; Eisner, Jason. - : arXiv, 2018 BASE Show details

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