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Language identification, a tool for Corsican and for the evaluation of linguistic resources ; L'identification de langue, un outil au service du corse et de l'évaluation des ressources linguistiques
In: Traitement Automatique des Langues ; https://hal.archives-ouvertes.fr/hal-03633290 ; Traitement Automatique des Langues, 2022, Diversité Linguistique, 62 (3), pp.13-37 ; https://www.atala.org/content/diversité-linguistique-linguistic-diversity-natural-language-processing (2022)
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2
Machine Translation and Gender biases in video game localisation: a corpus-based analysis
In: https://hal.archives-ouvertes.fr/hal-03540605 ; 2022 (2022)
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3
Lothian Diaries Dataset 1 (May-September 2020) ...
Hall-Lew, Lauren. - : Edinburgh DataVault, 2022
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4
Frequency, Informativity and Word Length: Insights from Typologically Diverse Corpora
In: Entropy; Volume 24; Issue 2; Pages: 280 (2022)
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5
Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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8
ANLIzing the Adversarial Natural Language Inference Dataset
In: Proceedings of the Society for Computation in Linguistics (2022)
Abstract: We perform an in-depth error analysis of the Adversarial NLI (ANLI) dataset, a recently introduced large-scale human-and-model-in-the-loop natural language inference dataset collected dynamically over multiple rounds. We propose a fine-grained annotation scheme for the different aspects of inference responsible for the gold classification labels, and use it to hand-code the ANLI development sets in their entirety. We use these annotations to answer a variety of important questions: which models have the highest performance on each inference type, which inference types are most common, and which types are the most challenging for state-of-the-art models? We hope our annotations will enable more fine-grained evaluation of NLI models, and provide a deeper understanding of where models fail (and succeed). Both insights can guide us in training stronger models going forward.
Keyword: annotation; artificial neural networks; Computational Linguistics; corpora; machine learning; natural language inference; natural language understanding; neural networks
URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1250&context=scil
https://scholarworks.umass.edu/scil/vol5/iss1/4
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9
Control in free adjuncts: the 'dangling modifier' in English ...
Donaldson, James. - : The University of Edinburgh, 2021
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10
Loose and tight languages: A typology based on associations between constructions and lexemes ...
Levshina, Natalia; Hawkins, John A.. - : Zenodo, 2021
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11
Loose and tight languages: A typology based on associations between constructions and lexemes ...
Levshina, Natalia; Hawkins, John A.. - : Zenodo, 2021
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12
Community Involvement in Research Infrastructures: The User Story Call for Text+ ...
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13
Community Involvement in Research Infrastructures: The User Story Call for Text+ ...
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14
You’re a bitch, the stallion said: estudio contrastivo inglés-español sobre el uso sexista del lenguaje.
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15
Control in free adjuncts: the 'dangling modifier' in English
Donaldson, James. - : The University of Edinburgh, 2021
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16
Corpora in the Classroom - the Case of the Serbian Language for Italian Speakers
Perisic Olja. - : URSS, 2021. : country:RUS, 2021. : place:Mosca, 2021
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17
Clausal Complementation in Nepal Bhasa
Zhang, Borui. - 2021
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18
Overview of AMALGUM – Large Silver Quality Annotations across English Genres
In: Proceedings of the Society for Computation in Linguistics (2021)
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19
Boosting English Vocabulary Knowledge through Corpus-Aided Word Formation Practice
In: RAEL: revista electrónica de lingüística aplicada, ISSN 1885-9089, Vol. 20, Nº. 1, 2021, pags. 49-70 (2021)
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20
Semantic prosody and collocation: A corpus study of the near-synonyms persist and persevere
In: Eurasian Journal of Applied Linguistics, Vol 7, Iss 1, Pp 240-258 (2021) (2021)
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