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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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Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)
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
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
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)
Abstract: International audience ; This paper investigates vowel elision and morpheme deletion inEmbosi (Bantu C25), an under-resourced language spoken inthe Republic of Congo. We propose that the observed mor-pheme deletion is morphological, and that vowel elision isphonological. The study focuses on vowel elision that occursacross word boundaries between the contact of long/short vow-els (i.e. CV[long] # V[short].CV), and between the contact ofshort/short vowels (CV[short] # V[short].CV). Several differ-ent categories of morphemes are explored: (i) prepositions (ya,mo), (ii) class-noun nominal prefixes (ba, etc.), (iii) singularsubject pronouns (ngá, nO, wa). For example, the preposition,ya, regularly deletes allowing for vowel elision if vowel contactoccurs between the head of the noun phrase and the previousword. Phonetically motivated speech variants are proposed inthe lexicon used for forced alignment (segmentation) enablingthese phenomena to be quantified in the corpus so as to developa dictionary containing relevant phonetic variants.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; language modeling; phonetics; phonology; under-resourced languages
URL: https://hal.archives-ouvertes.fr/hal-01837178
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Corpus base linguistic exploration via forced alignments with a ‘light-weight’ ASR tool
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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6
LIG-AIKUMA: a Mobile App to Collect Parallel Speech for Under-Resourced Language Studies
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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7
BULB: Breaking the Unwritten Language Barrier
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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8
Breaking the unwritten language barrier: the BULB project
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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9
Preliminary Experiments on Unsupervised Word Discovery in Mboshi
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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10
Innovative technologies for under-resourced language documentation: The BULB Project
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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11
Breaking the unwritten language barrier: the BULB project
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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12
Innovative technologies for under-resourced language documentation: The BULB Project
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
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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14
Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish
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
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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16
Modélisation acoustico-phonétique de langues peu dotées : Études phonétiques et travaux de reconnaissance automatique en luxembourgois
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
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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18
A First LVCSR System for Luxembourgish, a Low-Resourced European Language
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
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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20
What we can learn from asr errors about low-resourced languages: a case-study of luxembourgish and austrian
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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