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Hits 21 – 40 of 58

21
Predicting Declension Class from Form and Meaning
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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22
A Tale of a Probe and a Parser
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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23
Intrinsic Probing through Dimension Selection
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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24
Information-Theoretic Probing for Linguistic Structure
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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25
Pareto Probing: Trading Off Accuracy for Complexity ...
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26
A Tale of a Probe and a Parser ...
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27
A Tale of a Probe and a Parser ...
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28
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ...
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29
Predicting Declension Class from Form and Meaning ...
Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : ETH Zurich, 2020
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30
Definiteness across languages
In: Language Science Press; (2019)
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31
Definiteness across languages
In: Language Science Press; (2019)
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32
Definiteness across languages
In: Language Science Press; (2019)
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33
Definiteness across languages
In: Language Science Press; (2019)
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34
Definiteness across languages
In: Language Science Press; (2019)
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35
Definiteness across languages
In: Language Science Press; (2019)
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36
Definiteness across languages
In: Language Science Press; (2019)
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37
On the Idiosyncrasies of the Mandarin Chinese Classifier System ...
Abstract: While idiosyncrasies of the Chinese classifier system have been a richly studied topic among linguists (Adams and Conklin, 1973; Erbaugh, 1986; Lakoff, 1986), not much work has been done to quantify them with statistical methods. In this paper, we introduce an information-theoretic approach to measuring idiosyncrasy; we examine how much the uncertainty in Mandarin Chinese classifiers can be reduced by knowing semantic information about the nouns that the classifiers modify. Using the empirical distribution of classifiers from the parsed Chinese Gigaword corpus (Graff et al., 2005), we compute the mutual information (in bits) between the distribution over classifiers and distributions over other linguistic quantities. We investigate whether semantic classes of nouns and adjectives differ in how much they reduce uncertainty in classifier choice, and find that it is not fully idiosyncratic; while there are no obvious trends for the majority of semantic classes, shape nouns reduce uncertainty in classifier ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1902.10193
https://arxiv.org/abs/1902.10193
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38
Quantifying the Semantic Core of Gender Systems ...
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39
Definiteness across languages
In: Language Science Press; (2019)
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40
Definiteness across languages
In: Language Science Press; (2019)
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