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Hits 81 – 100 of 163

81
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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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 ...
Abstract: A major hurdle in data-driven research on typology is having sufficient data in many languages to draw meaningful conclusions. We present VoxClamantis V1.0, the first large-scale corpus for phonetic typology, with aligned segments and estimated phoneme-level labels in 690 readings spanning 635 languages, along with acoustic-phonetic measures of vowels and sibilants. Access to such data can greatly facilitate investigation of phonetic typology at a large scale and across many languages. However, it is non-trivial and computationally intensive to obtain such alignments for hundreds of languages, many of which have few to no resources presently available. We describe the methodology to create our corpus, discuss caveats with current methods and their impact on the utility of this data, and illustrate possible research directions through a series of case studies on the 48 highest-quality readings. Our corpus and scripts are publicly available for non-commercial use at https://voxclamantisproject.github.io. ... : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ...
URL: http://hdl.handle.net/20.500.11850/446011
https://dx.doi.org/10.3929/ethz-b-000446011
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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)
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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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