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Adaptor Grammars for the Linguist: Word Segmentation Experiments for Very Low-Resource Languages
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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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Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)
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In: 11th edition of the Language Resources and Evaluation Conference (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01710043 ; 11th edition of the Language Resources and Evaluation Conference (LREC 2018), ELRA, May 2018, Miyazaki, Japan (2018)
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A corpus based study of morpheme deletion in a low resourced language: A case study for Embosi
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In: Annual Meeting of the Linguistic Society of America ; https://hal.archives-ouvertes.fr/hal-01837164 ; Annual Meeting of the Linguistic Society of America, Jan 2018, Salt Lake City, United States (2018)
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Developing an Embosi (Bantu C25) Speech Variant Dictionary to Model Vowel Elision and Morpheme Deletion
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837178 ; Annual Conference of the International Speech Communication Association , ISCA, Aug 2017, Stockholm, Sweden (2017)
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Corpus base linguistic exploration via forced alignments with a ‘light-weight’ ASR tool
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In: Language & Technology Conference : Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01837174 ; Language & Technology Conference : Human Language Technologies as a Challenge for Computer Science and Linguistics, Nov 2017, Poznań, Poland (2017)
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LIG-AIKUMA: a Mobile App to Collect Parallel Speech for Under-Resourced Language Studies
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In: Interspeech 2016 proceedings ; Interspeech 2016 (short demo paper) ; https://hal.archives-ouvertes.fr/hal-01350062 ; Interspeech 2016 (short demo paper), Sep 2016, San-Francisco, France (2016)
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BULB: Breaking the Unwritten Language Barrier
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In: Procedia Computer Science ; Computational Methods for Endangered Language Documentation and Description ; https://hal.archives-ouvertes.fr/hal-01836496 ; Computational Methods for Endangered Language Documentation and Description, May 2016, Yogyakarta, Indonesia. pp.8-14, ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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Breaking the unwritten language barrier: the BULB project
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In: SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages ; https://halshs.archives-ouvertes.fr/halshs-01428027 ; SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages, May 2016, Yogyakarta, Indonesia. ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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Preliminary Experiments on Unsupervised Word Discovery in Mboshi
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In: Interspeech 2016 proceedings ; Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01350119 ; Interspeech 2016, Sep 2016, San-Francisco, United States (2016)
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Innovative technologies for under-resourced language documentation: The BULB Project
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In: CCURL proceedings ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC ; https://hal.archives-ouvertes.fr/hal-01350124 ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC, May 2016, Portoroz, Slovenia (2016)
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Breaking the unwritten language barrier: the BULB project
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In: SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages ; https://halshs.archives-ouvertes.fr/halshs-01428027 ; SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages, May 2016, Yogyakarta, Indonesia. ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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Innovative technologies for under-resourced language documentation: The BULB Project
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In: CCURL proceedings ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC ; https://hal.archives-ouvertes.fr/hal-01350124 ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC, May 2016, Portoroz, Slovenia (2016)
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| 13 |
BULB: Breaking the Unwritten Language Barrier
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In: Procedia Computer Science ; Computational Methods for Endangered Language Documentation and Description ; https://hal.archives-ouvertes.fr/hal-01836496 ; Computational Methods for Endangered Language Documentation and Description, May 2016, Yogyakarta, Indonesia. pp.8-14, ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01843401 ; International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland (2014)
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| 15 |
Automatic Language Identity Tagging on Word and Sentence-Level in Multilingual Text Sources: a Case-Study on Luxembourgish
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In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) ; Ninth International Conference on Language Resources and Evaluation (LREC'14) ; https://hal.archives-ouvertes.fr/hal-01134776 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), May 2014, Reykjavik, Iceland. pp.3300-3304 ; http://lrec2014.lrec-conf.org/en/ (2014)
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Abstract:
International audience ; Luxembourgish, embedded in a multilingual context on the divide between Romance and Germanic cultures, remains one of Europe's under-described languages. This is due to the fact that the written production remains relatively low, and linguistic knowledge and resources, such as lexica and pronunciation dictionaries, are sparse. The speakers or writers will frequently switch between Luxembourgish, German, and French, on a per-sentence basis, as well as on a sub-sentence level. In order to build resources like lexicons, and especially pronunciation lexicons, or language models needed for natural language processing tasks such as automatic speech recognition, language used in text corpora should be identified. In this paper, we present the design of a manually annotated corpus of mixed language sentences as well as the tools used to select these sentences. This corpus of difficult sentences was used to test a word-based language identification system. This language identification system was used to select textual data extracted from the web, in order to build a lexicon and language models. This lexicon and language model were used in an Automatic Speech Recognition system for the Luxembourgish language which obtain a 25\% WER on the Quaero development data.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; corpus of Luxembourguish; language identification; under-resourced language
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URL: https://hal.archives-ouvertes.fr/hal-01134776
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Modélisation acoustico-phonétique de langues peu dotées : Études phonétiques et travaux de reconnaissance automatique en luxembourgois
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In: Journées d'Etude sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843399 ; Journées d'Etude sur la Parole, Jan 2014, Le Mans, France (2014)
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| 17 |
Speech Alignment and Recognition Experiments for Luxembourgish
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In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; https://hal.archives-ouvertes.fr/hal-01134824 ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages, May 2014, Saint-Petersbourg, Russia. pp.53-60 ; http://www.mica.edu.vn/sltu2014/ (2014)
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A First LVCSR System for Luxembourgish, a Low-Resourced European Language
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In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01135103 ; Zygmunt Vetulani; Joseph Mariani. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.479-490, 2014, 5th Language and Technology Conference, LTC 2011, Poznań, Poland, November 25--27, 2011, Revised Selected Papers, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_39⟩ (2014)
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What we can learn from ASR errors about low-resourced languages: a case- study of Luxembourgish and Austrian
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In: Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing ; https://hal.archives-ouvertes.fr/hal-01843440 ; Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing, Jan 2013, Ermenonville, France (2013)
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What we can learn from asr errors about low-resourced languages: a case-study of luxembourgish and austrian
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In: Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013) ; https://halshs.archives-ouvertes.fr/halshs-01424902 ; Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013), Nov 2013, Ermenonville, France (2013)
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