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Hits 81 – 100 of 163

81
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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82
Intrinsic Probing through Dimension Selection ...
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83
SIGTYP 2020 Shared Task: Prediction of Typological Features ...
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84
The Paradigm Discovery Problem ...
Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020
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85
Information-Theoretic Probing for Linguistic Structure ...
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86
It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information ...
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87
Information-Theoretic Probing for Linguistic Structure ...
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88
Intrinsic Probing through Dimension Selection ...
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89
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ...
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90
A Corpus for Large-Scale Phonetic Typology ...
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91
Phonotactic Complexity and its Trade-offs ...
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92
Phonotactic Complexity and Its Trade-offs ...
Pimentel, Tiago; Roark, Brian; Cotterell, Ryan. - : ETH Zurich, 2020
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93
A Corpus for Large-Scale Phonetic Typology ...
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94
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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95
Morphologically Aware Word-Level Translation ...
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96
Predicting Declension Class from Form and Meaning ...
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97
Predicting declension class from form and meaning
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98
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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99
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
Abstract: A grammatical gender system divides a lexicon into a small number of relatively fixed grammatical categories. How similar are these gender systems across languages? To quantify the similarity, we define gender systems extensionally, thereby reducing the problem of comparisons between languages’ gender systems to cluster evaluation. We borrow a rich inventory of statistical tools for cluster evaluation from the field of community detection (Driver and Kroeber, 1932; Cattell, 1945), that enable us to craft novel information theoretic metrics for measuring similarity between gender systems. We first validate our metrics, then use them to measure gender system similarity in 20 languages. We then ask whether our gender system similarities alone are sufficient to reconstruct historical relationships between languages. Towards this end, we make phylogenetic predictions on the popular, but thorny, problem from historical linguistics of inducing a phylogenetic tree over extant Indo-European languages. Of particular interest, languages on the same branch of our phylogenetic tree are notably similar, whereas languages from separate branches are no more similar than chance.
URL: https://hdl.handle.net/20.500.11850/462323
https://doi.org/10.3929/ethz-b-000462323
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100
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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