DiaBLa: a corpus of bilingual spontaneous written dialogues for machine translation

Autor: Eric Bilinski, Sophie Rosset, Thomas Lavergne, Rachel Bawden

Publikováno v: Language Resources and Evaluation
Language Resources and Evaluation, Springer Verlag, 2020, ⟨10.1007/s10579-020-09514-4⟩

We present a new English–French dataset for the evaluation of Machine Translation (MT) for informal, written bilingual dialogue. The test set contains 144 spontaneous dialogues (5700+ sentences) between native English and French speakers, mediated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e698dd861325bbabcc39049d15abc4f1
https://doi.org/10.1007/s10579-020-09514-4

Recursos lingüísticos y terminológicos para desarrollar un sistema de diálogo con un paciente virtual en español

Autor: Leonardo Campillos Llanos, Catherine Thomas, Eric Bilinski, Pierre Zweigenbaum, Sophie Rosset

Publikováno v: Spanish Conference for Natural Language Processing (Sociedad Española para el Procesamiento del Lenguaje Natural)
Spanish Conference for Natural Language Processing (Sociedad Española para el Procesamiento del Lenguaje Natural), Sep 2019, Bilbao, Spain
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RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

This article reports the terminology and language resources used to develop a dialogue system for the medical domain in Spanish. The system simulates the medical history-taking step with a virtual patient, and is aimed mainly at medical students, who

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dacba2c5989d703fc80c0427e78b3bc3
https://hal.archives-ouvertes.fr/hal-02358022

Human Annotation of ASR Error Regions: is 'gravity' a Sharable Concept for Human Annotators?

Autor: Sophie Rosset, Daniel Luzzati, Cyril Grouin, Ioana Vasilescu, Martine Adda-Decker, Eric Bilinski, Nathalie Camelin, Juliette Kahn, Carole Lailler, Lori Lamel

Publikováno v: Ninth International Conference on Language Resources and Evaluation (LREC'14)
Ninth International Conference on Language Resources and Evaluation (LREC'14), May 2014, Reykjavik, Iceland. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pp.3050-3056, 2014
Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013)
Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013), Nov 2013, Ermenonville, France
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International audience; This paper is concerned with human assessments of the severity of errors in ASR outputs. We did not design any guidelines so that each annotator involved in the study could consider the " seriousness " of an ASR error using th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dfe8ae6960865e7b1ba0b62f9eee104a
https://hal.archives-ouvertes.fr/hal-01134802

The LIMSI Participation in the QAst Track

Autor: Eric Bilinski, Sophie Rosset, Olivier Galibert, Gilles Adda

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540857594
CLEF (Working Notes)

In this paper, we present two different question-answering systems on speech transcripts which participated to the QAst 2007 evaluation. These two systems are based on a complete and multi-level analysis of both queries and documents. The first syste

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9ac917a520caffa629dc5a35ae524ed
https://doi.org/10.1007/978-3-540-85760-0_55

The LIMSI 2006 TC-STAR EPPS Transcription systems

Autor: Xuan Zhu, Jean-Luc Gauvain, Lori Lamel, Gilles Adda, Eric Bilinski, Holger Schwenk, Claude Barras, Olivier Galibert, Agusti Pujol

Publikováno v: ICASSP (4)
IEEE International Conference on Acoustics, Speech, and Signal Processing
IEEE International Conference on Acoustics, Speech, and Signal Processing, Jan 2007, Honolulu, United States

This paper describes the speech recognizers developed to transcribe European Parliament Plenary Sessions (EPPS) in English and Spanish in the 2nd TC-STAR Evaluation Campaign. The speech recognizers are state-of-the-art systems using multiple decoding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0da82ca9cd6f8e8749c333d4b81a4064
https://hal.science/hal-01836621