DE eng

Search in the Catalogues and Directories

Hits 1 – 16 of 16

1
Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
In: SyntaxFest Quasy 2021 - Quantitative Syntax ; https://hal.inria.fr/hal-03501774 ; SyntaxFest Quasy 2021 - Quantitative Syntax, Mar 2022, Sofia, Bulgaria (2022)
BASE
Show details
2
Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
In: Quasy (Quantitative Syntax), SyntaxFest 2021 ; https://hal.inria.fr/hal-03501774 ; Quasy (Quantitative Syntax), SyntaxFest 2021, Mar 2022, Sofia, Bulgaria (2022)
BASE
Show details
3
Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03463294 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, Dec 2021, Grenoble, France (2021)
BASE
Show details
4
Analyse orientée corpus d'universaux de Greenberg sur Universal Dependencies
In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03462112 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, GDR LIFT - Linguistique Informatique, Formelle et de Terrain, Dec 2021, Grenoble, France (2021)
BASE
Show details
5
The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies.
In: https://hal.archives-ouvertes.fr/hal-03230287 ; 2021 (2021)
BASE
Show details
6
Language Teachers and Crowdsourcing: Insights from a Cross-European Survey
In: ISSN: 1331-6745 ; EISSN: 1849-0379 ; Rasprave Instituta za hrvatski jezik i jezikoslovlje ; https://hal.inria.fr/hal-02974069 ; Rasprave Instituta za hrvatski jezik i jezikoslovlje, 2020, 46 (1), pp.1-28. ⟨10.31724/rihjj.46.1.1⟩ (2020)
BASE
Show details
7
Text Corpora and the Challenge of Newly Written Languages
In: 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020) ; https://hal.archives-ouvertes.fr/hal-02611209 ; 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), May 2020, Marseille, France (2020)
Abstract: International audience ; Text corpora represent the foundation on which most natural language processing systems rely. However, for many languages, collecting or building a text corpus of a sufficient size still remains a complex issue, especially for corpora that are accessible and distributed under a clear license allowing modification (such as annotation) and further resharing. In this paper, we review the sources of text corpora usually called upon to fill the gap in low-resource contexts, and how crowdsourcing has been used to build linguistic resources. Then, we present our own experiments with crowdsourcing text corpora and an analysis of the obstacles we encountered. Although the results obtained in terms of participation are still unsatisfactory, we advocate that the effort towards a greater involvement of the speakers should be pursued, especially when the language of interest is newly written.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; crowdsourcing; dialectal variants; spelling; text corpora
URL: https://hal.archives-ouvertes.fr/hal-02611209/file/ccurl2020_kfam.pdf
https://hal.archives-ouvertes.fr/hal-02611209/document
https://hal.archives-ouvertes.fr/hal-02611209
BASE
Hide details
8
Produire des données pour la recherche en jouant aux zombies
In: ISSN: 2270-6224 ; Interstices ; https://hal.inria.fr/hal-01827612 ; Interstices, INRIA, 2018 ; https://interstices.info/produire-des-donnees-pour-la-recherche-en-jouant-aux-zombies (2018)
BASE
Show details
9
"Fingers in the Nose": Evaluating Speakers' Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform
In: Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) ; https://hal.archives-ouvertes.fr/hal-01912706 ; Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.207 - 213 ; https://aclanthology.coli.uni-saarland.de/events/ws-2018/#W18-49 (2018)
BASE
Show details
10
Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax
In: International Conference on Computational Linguistics (COLING) ; https://hal.inria.fr/hal-01378980 ; International Conference on Computational Linguistics (COLING), Dec 2016, Osaka, Japan ; http://coling2016.anlp.jp/ (2016)
BASE
Show details
11
Propa-L: a Semantic Filtering Service from a Lexical Network Created using Games With A Purpose
In: 9th International Conference on Language Resources and Evaluation ; LREC: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-00969161 ; LREC: Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland. pp.1676-1681 ; http://www.lrec-conf.org/proceedings/lrec2014/index.html (2014)
BASE
Show details
12
Deep Syntax Annotation of the Sequoia French Treebank
In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969191 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
BASE
Show details
13
Evaluating Corpora Documentation with regards to the Ethics and Big Data Charter
In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969180 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
BASE
Show details
14
"Where the data are coming from?" Ethics, crowdsourcing and traceability for Big Data in Human Language Technology
In: Crowdsourcing and human computation multidisciplinary workshop ; https://hal.archives-ouvertes.fr/hal-01078045 ; Crowdsourcing and human computation multidisciplinary workshop, CNRS, Sep 2014, Paris, France (2014)
BASE
Show details
15
Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use
In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.inria.fr/hal-01053047 ; Vetulani, Zygmunt and Mariani, Joseph. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.303-314, 2014, Lecture Notes in Computer Science, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_25⟩ (2014)
BASE
Show details
16
Un schéma d'annotation en dépendances syntaxiques profondes pour le français
In: TALN - Traitement Automatique des Langues Naturelles ; https://hal.inria.fr/hal-01054407 ; TALN - Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.574-579 (2014)
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
16
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern