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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: 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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On the use of accelerometer sensors to study nasalization in speech and singing voice
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In: Proceedings of the 10th International Seminar on Speech Production (ISSP) ; 10th International Seminar on Speech Production (ISSP) ; https://halshs.archives-ouvertes.fr/halshs-01130264 ; 10th International Seminar on Speech Production (ISSP), May 2014, COLOGNE, Germany. pp.126-129 ; http://www.issp2014.uni-koeln.de/wp-content/uploads/2014/Proceedings_ISSP_revised.pdf (2014)
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Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
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In: in Proc. 1st Workshop on ICT for the Preservation and Transmission of Intangible Cultural Heritage, International Euro-Mediterranean Conference on Cultural Heritage (Euromed2014) ; https://halshs.archives-ouvertes.fr/halshs-01130325 ; in Proc. 1st Workshop on ICT for the Preservation and Transmission of Intangible Cultural Heritage, International Euro-Mediterranean Conference on Cultural Heritage (Euromed2014), Nov 2014, Lemessos, Cyprus (2014)
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A CRF-Based Approach to Automatic Disfluency Detection in a French Call-Centre Corpus
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In: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech'14) ; 15th Annual Conference of the International Speech Communication Association (Interspeech'14) ; https://hal.archives-ouvertes.fr/hal-01134812 ; 15th Annual Conference of the International Speech Communication Association (Interspeech'14), International Speech Communication Association (ISCA), Sep 2014, Singapour, Singapore. pp.2897-2901 ; http://www.interspeech2014.org/public.php?page=home.html (2014)
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Measuring Vocal Tract Agility from Videofiberscopic Data: The Human BeatBox Example
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In: Voice Foundation Symposium ; https://hal.archives-ouvertes.fr/hal-01099456 ; Voice Foundation Symposium, May 2014, Philadelphie, United States. pp.16-17 ; http://voicefoundation.org/wp-content/uploads/2014/03/Abstracts-20141.pdf (2014)
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ETER: a New Metric for the Evaluation of Hierarchical Named Entity Recognition
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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-01134713 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), May 2014, Reykjavik, Iceland. pp.3987-3994 ; http://lrec2014.lrec-conf.org/en/ (2014)
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Reconnaissance automatique de la parole
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In: ISSN: 0222-9838 ; EISSN: 1783-1601 ; L'information grammaticale ; https://hal.archives-ouvertes.fr/hal-01135037 ; L'information grammaticale, Peeters Publishers, 2014, TRAITEMENTS AUTOMATIQUES DE L’ORAL ET DE L’ÉCRIT (1) Panorama des recherches et des technologies actuelles, 141, pp.10 (2014)
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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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