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1
DeepL et Google Translate face à l'ambiguïté phraséologique
In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
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2
Islands and Bridges of Language: Bio-Inspired Structural Analysis of Language Embedding Data
Zhou, Hongwei. - : eScholarship, University of California, 2022
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VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES
In: https://hal.archives-ouvertes.fr/hal-03598242 ; France, Patent n° : EP3937059A1. 2022 (2022)
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4
Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
Dinkar, Tanvi. - : HAL CCSD, 2022
In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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5
An Ontology based Smart Management of Linguistic Knowledge
In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
Abstract: International audience ; Natural language processing provides a very significant contribution to various application areas such as multilingual big data, information retrieval, data integration and multilingual web. However, handling linguistic knowledge to develop such lingware applications is a crucial issue, especially for linguistic novice users. To deal with this issue, a "smart" linguistic knowledge management may help the user to understand the meaning, scope and especially the use of related techniques and algorithms. In this paper, we propose (1) a semantic processing of linguistic knowledge based on a multilingual linguistic domain ontology, called LingOnto. Compared to related work, LingOnto does not only handles linguistic data, but also linguistic processing functionalities and linguistic processing features. Besides, it allows via a reasoning engine, inferring new linguistic knowledge from those initially entered and assisting in the process of proposing lingware applications. This is particularly useful for novice users, but can also provide new perspectives for expert ones. Lin-gOnto covers the French, English and Arabic languages (2) an assisted visualization based on a user friendly ontology visualization tool called LingGraph to facilitate the interaction with LingOnto. It offers an easy to use interface for users not familiar with ontologies. It provides a SPARQL An Ontology based Smart Management of Linguistic Knowledge pattern-based approach to allow a smart search interaction functionality to visualize only an ontological view based on the user's needs and preferences. In order to evaluate LingOnto and measure its efficiency, we applied it to a framework of identifying valid natural language processing pipelines. Finally, we give the results of the carried-out experiments.
Keyword: [INFO]Computer Science [cs]; Linguistic Domain Ontology; Multilingualism; Natural Language Processing; Smart Framework; User Friendly Visualization
URL: https://hal.archives-ouvertes.fr/hal-03618012/file/JDMDH.pdf
https://hal.archives-ouvertes.fr/hal-03618012
https://hal.archives-ouvertes.fr/hal-03618012/document
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6
PROTECT: A Pipeline for Propaganda Detection and Classification
In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022)
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7
Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022)
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8
Sentence Processing in Traumatic Brain Injury (Key-DeLyria, 2016) ...
Key-DeLyria, Sarah E.. - : ASHA journals, 2022
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9
Sentence Processing in Traumatic Brain Injury (Key-DeLyria, 2016) ...
Key-DeLyria, Sarah E.. - : ASHA journals, 2022
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10
Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
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11
Writing Products in LLD (Koutsoftas, 2016) ...
Koutsoftas, Anthony D.. - : ASHA journals, 2022
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12
Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
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13
Writing Products in LLD (Koutsoftas, 2016) ...
Koutsoftas, Anthony D.. - : ASHA journals, 2022
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14
Language Skills of Youth Offenders (Lount et al., 2017) ...
Lount, Sarah A.; Purdy, Suzanne C.; Hand, Linda. - : ASHA journals, 2022
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15
Language Skills of Youth Offenders (Lount et al., 2017) ...
Lount, Sarah A.; Purdy, Suzanne C.; Hand, Linda. - : ASHA journals, 2022
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16
Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
Wei, Megan. - : Open Science Framework, 2022
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17
Unsupervised quantification of entity consistency between photos and text in real-world news ...
Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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18
Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022
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19
Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022
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20
Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ...
Weigelt, Sebastian. - : KIT Scientific Publishing, 2022
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