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1
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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2
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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3
Finding the best way to put media bias research into practice via an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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4
Are neural language models sensitive to false belief? A computational study. ...
Trott, Sean. - : Open Science Framework, 2022
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5
Can distributional semantics explain performance on the false belief task? ...
Trott, Sean. - : Open Science Framework, 2022
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6
Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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7
Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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8
Agreement ...
Tal, Shira. - : Open Science Framework, 2022
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9
Agreement ...
Tal, Shira. - : Open Science Framework, 2022
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10
Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
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11
Compilable Neural Code Generation with Compiler Feedback ...
Abstract: Automatically generating compilable programs with (or without) natural language descriptions has always been a touchstone problem for computational linguistics and automated software engineering. Existing deep-learning approaches model code generation as text generation, either constrained by grammar structures in decoder, or driven by pre-trained language models on large-scale code corpus (e.g., CodeGPT, PLBART, and CodeT5). However, few of them account for compilability of the generated programs. To improve compilability of the generated programs, this paper proposes COMPCODER, a three-stage pipeline utilizing compiler feedback for compilable code generation, including language model fine-tuning, compilability reinforcement, and compilability discrimination. Comprehensive experiments on two code generation tasks demonstrate the effectiveness of our proposed approach, improving the success rate of compilation from 44.18 to 89.18 in code completion on average and from 70.3 to 96.2 in text-to-code generation, ... : Accepted by ACL 2022 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Programming Languages cs.PL
URL: https://arxiv.org/abs/2203.05132
https://dx.doi.org/10.48550/arxiv.2203.05132
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12
Who has ears, listen: Citizen Listening Program for disease prevention. ...
García Pereira, Ramiro. - : figshare, 2022
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13
Who has ears, listen: Citizen Listening Program for disease prevention. ...
García Pereira, Ramiro. - : figshare, 2022
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14
The Quasi-Other as a Sobject ...
Ullmann, Larissa. - : Technology and Language, 3(1), 76-81, 2022
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15
Tripartitions of the first person space (English speakers, Condition 1) ...
Maldonado, Mora. - : Open Science Framework, 2022
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16
Building community through hospitality : indirect obligations to reciprocate in a transnational speech community
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17
Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
Agüero Torales, Marvin Matías. - : Universidad de Granada, 2022
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18
Communicating artificial neural networks develop efficient color-naming systems
In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.inria.fr/hal-03329084 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (12), ⟨10.1073/pnas.2016569118⟩ (2021)
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19
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021)
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20
Identification et gestion des données personnelles dans les textes ; Identification et gestion des données personnelles dans les textes: modèle sémantique et applications
In: CiDE.22 : 22éme édition du Colloque International sur le Document Electronique Données Documents Connaissances : Perspectives de recherche et d’enseignement ; https://hal.archives-ouvertes.fr/hal-03506075 ; CiDE.22 : 22éme édition du Colloque International sur le Document Electronique Données Documents Connaissances : Perspectives de recherche et d’enseignement, Dec 2021, Paris, France (2021)
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