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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
3 |
Finding the best way to put media bias research into practice via an annotation app ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Are neural language models sensitive to false belief? A computational study. ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Can distributional semantics explain performance on the false belief task? ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Compilable Neural Code Generation with Compiler Feedback ...
|
|
Wang, Xin; Wang, Yasheng; Wan, Yao; Mi, Fei; Li, Yitong; Zhou, Pingyi; Liu, Jin; Wu, Hao; Jiang, Xin; Liu, Qun. - : arXiv, 2022
|
|
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
|
|
BASE
|
|
Hide details
|
|
12 |
Who has ears, listen: Citizen Listening Program for disease prevention. ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Who has ears, listen: Citizen Listening Program for disease prevention. ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Tripartitions of the first person space (English speakers, Condition 1) ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Building community through hospitality : indirect obligations to reciprocate in a transnational speech community
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
|
|
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
|