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1
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
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Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model ...
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SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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Intrinsic Probing through Dimension Selection ...
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SIGTYP 2020 Shared Task: Prediction of Typological Features ...
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The Paradigm Discovery Problem ...
Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020
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Information-Theoretic Probing for Linguistic Structure ...
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It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information ...
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Information-Theoretic Probing for Linguistic Structure ...
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10
Intrinsic Probing through Dimension Selection ...
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11
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ...
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12
A Corpus for Large-Scale Phonetic Typology ...
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Phonotactic Complexity and its Trade-offs ...
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Phonotactic Complexity and Its Trade-offs ...
Pimentel, Tiago; Roark, Brian; Cotterell, Ryan. - : ETH Zurich, 2020
Abstract: We present methods for calculating a measure of phonotactic complexity—bits per phoneme— that permits a straightforward cross-linguistic comparison. When given a word, represented as a sequence of phonemic segments such as symbols in the international phonetic alphabet, and a statistical model trained on a sample of word types from the language, we can approximately measure bits per phoneme using the negative log-probability of that word under the model. This simple measure allows us to compare the entropy across languages, giving insight into how complex a language’s phonotactics is. Using a collection of 1016 basic concept words across 106 languages, we demonstrate a very strong negative correlation of − 0.74 between bits per phoneme and the average length of words. ... : Transactions of the Association for Computational Linguistics, 8 ...
URL: https://dx.doi.org/10.3929/ethz-b-000462324
http://hdl.handle.net/20.500.11850/462324
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A Corpus for Large-Scale Phonetic Typology ...
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16
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model ...
Leung, Jun Yen; Emerson, Guy; Cotterell, Ryan. - : ETH Zurich, 2020
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Morphologically Aware Word-Level Translation ...
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Predicting Declension Class from Form and Meaning ...
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19
Predicting declension class from form and meaning
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20
Please Mind the Root: Decoding Arborescences for Dependency Parsing
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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