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1
Predicting and Critiquing Machine Virtuosity: Mawwal Accompaniment as Case Study
In: International Computer Music Conference ; https://hal.archives-ouvertes.fr/hal-03044066 ; International Computer Music Conference, Jul 2021, Santiago, Chile (2021)
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2
Parallel Corpora Preparation for English-Amharic Machine Translation
In: IWANN 2021 - International Work on Artificial Neural Networks, Conference Springer LNCS proceedings ; https://hal.inria.fr/hal-03272258 ; IWANN 2021 - International Work on Artificial Neural Networks, Conference Springer LNCS proceedings, Jun 2021, Online, Spain (2021)
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3
Improving Machine Translation of Arabic Dialects through Multi-Task Learning
In: 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021 ; https://hal.archives-ouvertes.fr/hal-03435996 ; 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021, Dec 2021, MILAN/Virtual, Italy (2021)
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4
Statistical Machine Translation: Application to low resourced languages ; Traduction Automatique Fondée sur des Méthodes Statistiques : Application aux Langues peu Dotées en Ressources
Harrat, Salima. - : HAL CCSD, 2018
In: https://hal.inria.fr/tel-03186940 ; Computation and Language [cs.CL]. École Supérieure d’Informatique, 2018. English (2018)
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5
Machine translation for Arabic dialects (survey)
In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal.archives-ouvertes.fr/hal-01581038 ; Information Processing and Management, Elsevier, 2017, 56 (2), pp.262-273. ⟨10.1016/j.ipm.2017.08.003⟩ (2017)
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6
A new language model based on possibility theory
In: Springer LNCS series, Lecture Notes in Computer Science. ; https://hal.inria.fr/hal-01336535 ; Springer LNCS series, Lecture Notes in Computer Science., 2016 (2016)
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7
STATISTICAL MACHINE TRANSLATION IMPROVEMENT BASED ON PHRASE SELECTION
In: Recent Advances in Natural Language Processing ; https://hal.inria.fr/hal-01261563 ; Recent Advances in Natural Language Processing, Sep 2015, Hissar, Bulgaria (2015)
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8
Grapheme To Phoneme Conversion - An Arabic Dialect Case
In: Spoken Language Technologies for Under-resourced Languages ; https://hal.inria.fr/hal-01067022 ; Spoken Language Technologies for Under-resourced Languages, May 2014, Saint Petesbourg, Russia (2014)
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9
Building Resources for Algerian Arabic Dialects
In: 15th Annual Conference of the International Communication Association Interspeech ; https://hal.inria.fr/hal-01066989 ; 15th Annual Conference of the International Communication Association Interspeech, ISCA, Sep 2014, Singapour, Singapore (2014)
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10
Training phrase-based SMT without explicit word aligment
In: Lecture Notes in Computer Science ; 15th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.inria.fr/hal-01067051 ; 15th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. pp.233-241 ; https://link.springer.com/chapter/10.1007/978-3-642-54903-8_20 (2014)
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11
Diacritics Restoration for Arabic Dialects
In: INTERSPEECH 2013 - 14th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-00925815 ; INTERSPEECH 2013 - 14th Annual Conference of the International Speech Communication Association, ISCA, Aug 2013, Lyon, France (2013)
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12
A new method for learning Phrase Based Machine Translation with Multivariate Mutual Information
In: The 8th International Conference on Natural Language Processing and Knowledge Engineering - NLP-KE'12 ; https://hal.archives-ouvertes.fr/hal-00727044 ; The 8th International Conference on Natural Language Processing and Knowledge Engineering - NLP-KE'12, Sep 2012, HuangShan, China (2012)
Abstract: International audience ; Current statistical machine translation systems usually build an initial word-to-word alignments before learning phrase translation pairs. This operation needs so many matching between di erent single words of both considered languages. We propose a new approach for phrase-based machine translation which does not need any word alignments, it is based on inter-lingual triggers determined by Multivariate Mutual Information. This algorithm segments sentences into phrases and nds their alignments simultaneously. The main objective is to build directly valid alignments between source and target phrases. Inspite of the youth of this method, experiments showed that the results are competitive but needs some more e orts in order to overcome the one of state-of-the-art methods.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; inter-lingual triggers; multivariate mutual information; statistical machine translation
URL: https://hal.archives-ouvertes.fr/hal-00727044/document
https://hal.archives-ouvertes.fr/hal-00727044
https://hal.archives-ouvertes.fr/hal-00727044/file/102.pdf
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13
LORIA System for the WMT12 Quality Estimation Shared Task
In: NAACL 2012 - The Seventh Workshop on Statistical Machine Translation ; https://hal.inria.fr/hal-00726372 ; NAACL 2012 - The Seventh Workshop on Statistical Machine Translation, Jun 2012, Montréal, Canada. pp.114--119 (2012)
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14
A Study of a Non-Resourced Language: The Case of one of the Algerian Dialects
In: Proceedings of The third International Workshop on Spoken Languages Technologies for Under-resourced Languages ; The third International Workshop on Spoken Languages Technologies for Under-resourced Languages - SLTU'12 ; https://hal.archives-ouvertes.fr/hal-00727042 ; The third International Workshop on Spoken Languages Technologies for Under-resourced Languages - SLTU'12, May 2012, Cape-town, South Africa. pp.1-7 (2012)
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15
Training Statistical Machine Translation with Multivariate Mutual Information
In: 5th Language and Technology Conference ; https://hal.archives-ouvertes.fr/hal-01272104 ; 5th Language and Technology Conference, Nov 2011, Poznan, Poland (2011)
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16
Phrase-based Machine Translation based on Text Mining and Statistical Language Modeling Techniques
In: ISSN: 0976-0962 ; International Journal of Computational Linguistics and Applications ; https://hal.inria.fr/hal-01270957 ; International Journal of Computational Linguistics and Applications, Alexander Gelbukh, 2011, 2 (1-2), pp.16 (2011)
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