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Finding Concept-specific Biases in Form--Meaning Associations ...
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Finding Concept-specific Biases in Form–Meaning Associations ...
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Disambiguatory Signals are Stronger in Word-initial Positions ...
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Finding Concept-specific Biases in Form–Meaning Associations
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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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Disambiguatory Signals are Stronger in Word-initial Positions
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In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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Disambiguatory Signals are Stronger in Word-initial Positions ...
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Abstract:
Psycholinguistic studies of human word processing and lexical access provide ample evidence of the preferred nature of word-initial versus word-final segments, e.g., in terms of attention paid by listeners (greater) or the likelihood of reduction by speakers (lower). This has led to the conjecture—as in Wedel et al. (2019b), but common elsewhere—that languages have evolved to provide more information earlier in words than later. Information-theoretic methods to establish such tendencies in lexicons have suffered from several methodological shortcomings that leave open the question of whether this high word-initial informativeness is actually a property of the lexicon or simply an artefact of the incremental nature of recognition. In this paper, we point out the confounds in existing methods for comparing the informativeness of segments early in the word versus later in the word, and present several new measures that avoid these confounds. When controlling for these confounds, we still find evidence across ... : Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume ...
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URL: http://hdl.handle.net/20.500.11850/518997 https://dx.doi.org/10.3929/ethz-b-000518997
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Finding Concept-specific Biases in Form--Meaning Associations ...
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Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset ...
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Phonotactic Complexity and Its Trade-offs
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In: Transactions of the Association for Computational Linguistics, 8 (2020)
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Explaining vowel inventory tendencies via simulation: finding a role for quantal locations and formant normalization
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In: North East Linguistics Society (2020)
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Are All Languages Equally Hard to Language-Model?
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Rethinking Phonotactic Complexity
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Graph-Based Word Alignment for Clinical Language Evaluation
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In: Comput Linguist Assoc Comput Linguist (2015)
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COMPUTATIONAL ANALYSIS OF TRAJECTORIES OF LINGUISTIC DEVELOPMENT IN AUTISM
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