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Cotterell, Ryan (7)
The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (7)
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2021 (7)
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Hits 1 – 7 of 7
1
Revisiting the Uniform Information Density Hypothesis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cotterell, Ryan
;
Haller, Patrick
. - : Underline Science Inc., 2021
BASE
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2
Conditional Poisson Stochastic Beams ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Amini, Afra
;
Cotterell, Ryan
. - : Underline Science Inc., 2021
BASE
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3
Differentiable Subset Pruning of Transformer Heads ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cotterell, Ryan
;
Li, Jiaoda
. - : Underline Science Inc., 2021
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4
A Bayesian Framework for Information-Theoretic Probing ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cotterell, Ryan
;
Pimentel, Tiago
. - : Underline Science Inc., 2021
BASE
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5
Classifying Dyads for Militarized Conflict Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ahbab, Samin
;
Cotterell, Ryan
. - : Underline Science Inc., 2021
BASE
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6
A surprisal--duration trade-off across and within the world's languages ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Blasi, Damián
;
Cotterell, Ryan
. - : Underline Science Inc., 2021
BASE
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7
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Blasi, Damián
;
Cotterell, Ryan
;
Wallach, Hanna
;
Williams, Adina
;
Wolf-Sonkin, Lawrence
. - : Underline Science Inc., 2021
Abstract:
We use large-scale corpora in six different gendered languages, along with tools from NLP and information theory, to test whether there is a relationship between the grammatical genders of inanimate nouns and the adjectives used to describe those nouns. For all six languages, we find that there is a statistically significant relationship. We also find that there are statistically significant relationships between the grammatical genders of inanimate nouns and the verbs that take those nouns as direct objects, as indirect objects, and as subjects. We defer deeper investigation of these relationships for future work. ...
Keyword:
Cognitive Modeling
;
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://underline.io/lecture/38194-on-the-relationships-between-the-grammatical-genders-of-inanimate-nouns-and-their-co-occurring-adjectives-and-verbs
https://dx.doi.org/10.48448/zzje-y885
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