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1
Probing for the Usage of Grammatical Number ...
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2
On Homophony and Rényi Entropy ...
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3
Finding Concept-specific Biases in Form--Meaning Associations ...
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4
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models ...
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5
Revisiting the Uniform Information Density Hypothesis ...
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6
How (Non-)Optimal is the Lexicon? ...
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7
Disambiguatory Signals are Stronger in Word-initial Positions ...
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8
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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9
Information-Theoretic Probing for Linguistic Structure ...
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10
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. ... : Accepted to ACL2020 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2005.13962
https://dx.doi.org/10.48550/arxiv.2005.13962
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11
Phonotactic Complexity and its Trade-offs ...
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12
Predicting Declension Class from Form and Meaning ...
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13
Pareto Probing: Trading Off Accuracy for Complexity ...
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14
A Tale of a Probe and a Parser ...
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