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1
Segmentation de texte non-supervisée pour la détection de thématiques à l'aide de plongements lexicaux
In: Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL ; https://hal.archives-ouvertes.fr/hal-02786182 ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL, Jun 2020, Nancy, France. pp.1-14 (2020)
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2
Automatic Segmentation of Sign Language into Subtitle-Units
In: Computer Vision – ECCV 2020 Workshops ; Sign Language Recognition, Translation & Production workshop ; https://hal.archives-ouvertes.fr/hal-03098684 ; Sign Language Recognition, Translation & Production workshop, Aug 2020, Glasgow ( virtual ), United Kingdom. ⟨10.1007/978-3-030-66096-3_14⟩ (2020)
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3
Controlling Utterance Length in NMT-based Word Segmentation with Attention
In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343206 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China (2019)
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4
Unsupervised word discovery for computational language documentation ; Découverte non-supervisée de mots pour outiller la linguistique de terrain
Godard, Pierre. - : HAL CCSD, 2019
In: https://tel.archives-ouvertes.fr/tel-02286425 ; Artificial Intelligence [cs.AI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS062⟩ (2019)
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5
A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
In: Language Resources and Evaluation Conference (LREC) ; https://hal.archives-ouvertes.fr/hal-01807093 ; Language Resources and Evaluation Conference (LREC), Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Pi, May 2018, Miyazaki, Japan (2018)
Abstract: International audience ; Most speech and language technologies are trained with massive amounts of speech and text information. However, most of the world languages do not have such resources and some even lack a stable orthography. Building systems under these almost zero resource conditions is not only promising for speech technology but also for computational language documentation. The goal of computational language documentation is to help field linguists to (semi-)automatically analyze and annotate audio recordings of endangered, unwritten languages. Example tasks are automatic phoneme discovery or lexicon discovery from the speech signal. This paper presents a speech corpus collected during a realistic language documentation process. It is made up of 5k speech utterances in Mboshi (Bantu C25) aligned to French text translations. Speech transcriptions are also made available: they correspond to a non-standard graphemic form close to the language phonology. We detail how the data was collected, cleaned and processed and we illustrate its use through a zero-resource task: spoken term discovery. The dataset is made available to the community for reproducible computational language documentation experiments and their evaluation.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; field linguistics; language documentation; spoken term discovery; unwritten languages; word segmentation; zero resource technologies
URL: https://hal.archives-ouvertes.fr/hal-01807093/document
https://hal.archives-ouvertes.fr/hal-01807093/file/lrec2018_mboshi_final-3.pdf
https://hal.archives-ouvertes.fr/hal-01807093
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6
Adaptor Grammars for the Linguist: Word Segmentation Experiments for Very Low-Resource Languages
In: Workshop on Computational Research in Phonetics, Phonology, and Morphology ; https://hal.archives-ouvertes.fr/hal-01910757 ; Workshop on Computational Research in Phonetics, Phonology, and Morphology, Oct 2018, Bruxelles, Belgium. pp.32 - 42, ⟨10.18653/v1/P17⟩ (2018)
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7
Unsupervised learning of morphology in the USSR
In: Journées internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-01620908 ; Journées internationales d'Analyse statistique des Données Textuelles, Damon Mayaffre, Céline Poudat, Laurent Vanni, Véronique Magri, Peter Follette, Jun 2016, Nice, France (2016)
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8
Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis
In: 2016 12th IAPR Workshop on Document Analysis Systems (DAS) ; https://hal.archives-ouvertes.fr/hal-02425715 ; 2016 12th IAPR Workshop on Document Analysis Systems (DAS), Apr 2016, Santorini, France. pp.42-47, ⟨10.1109/DAS.2016.74⟩ (2016)
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9
DEGELS 2012 Annotation Challenge: Segmentation ; Défi d'annotation DEGELS2012 : la segmentation
In: JEP-TALN-RECITAL ; https://hal.archives-ouvertes.fr/hal-01803808 ; JEP-TALN-RECITAL, ATALA/AFCP, Jun 2012, Grenoble, France. pp.1-8 ; https://degels2012.limsi.fr (2012)
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10
Comparing Multi-Stage Approaches for Cross-Show Speaker Diarization
In: Interspeech 2011 ; https://hal.archives-ouvertes.fr/hal-01690265 ; Interspeech 2011, Aug 2011, Florence, Italy (2011)
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11
Automatic glottal segmentation using local-based active contours
In: AQL 2010 - 9th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research ; https://hal.archives-ouvertes.fr/hal-00540517 ; AQL 2010 - 9th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research, Sep 2010, Erlangen, Germany (2010)
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