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Finding Concept-specific Biases in Form--Meaning Associations ...
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Systematic Inequalities in Language Technology Performance across the World's Languages ...
Abstract: Natural language processing (NLP) systems have become a central technology in communication, education, medicine, artificial intelligence, and many other domains of research and development. While the performance of NLP methods has grown enormously over the last decade, this progress has been restricted to a minuscule subset of the world's 6,500 languages. We introduce a framework for estimating the global utility of language technologies as revealed in a comprehensive snapshot of recent publications in NLP. Our analyses involve the field at large, but also more in-depth studies on both user-facing technologies (machine translation, language understanding, question answering, text-to-speech synthesis) as well as more linguistic NLP tasks (dependency parsing, morphological inflection). In the process, we (1) quantify disparities in the current state of NLP research, (2) explore some of its associated societal and academic factors, and (3) produce tailored recommendations for evidence-based policy making aimed ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2110.06733
https://dx.doi.org/10.48550/arxiv.2110.06733
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Modeling the Unigram Distribution ...
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4
A surprisal--duration trade-off across and within the world's languages ...
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5
Modeling the Unigram Distribution ...
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6
Finding Concept-specific Biases in Form–Meaning Associations ...
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7
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
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8
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
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9
How (Non-)Optimal is the Lexicon? ...
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10
Evaluating Word Embeddings with Categorical Modularity ...
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11
Modeling the Unigram Distribution
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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12
Finding Concept-specific Biases in Form–Meaning Associations
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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13
How (Non-)Optimal is the Lexicon?
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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14
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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15
Evaluating Word Embeddings with Categorical Modularity ...
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16
How (Non-)Optimal is the Lexicon? ...
NAACL 2021 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021
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17
How (Non-)Optimal is the Lexicon? ...
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18
Finding Concept-specific Biases in Form--Meaning Associations ...
NAACL 2021 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021
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19
Neural signatures of syntactic variation in speech planning
In: PLoS Biol (2021)
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20
Meaning before grammar: A review of ERP experiments on the neurodevelopmental origins of semantic processing [<Journal>]
Morgan, Elena Usai [Verfasser]; Meer, Audrey van der [Verfasser]; Vulchanova, Mila [Verfasser].
DNB Subject Category Language
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