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Automatic identification methods on a corpus of twenty five fine-grained Arabic dialects
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In: Arabic Language Processing: From Theory to Practice7th International Conference, ICALP 2019, Nancy, France, October 16–17, 2019, Proceedings ; https://hal.archives-ouvertes.fr/hal-02314245 ; Arabic Language Processing: From Theory to Practice 7th International Conference, ICALP 2019, Nancy, France, October 16–17, 2019, Proceedings, Communications in Computer and Information Science book series (CCIS, volume 1108), 2019, ⟨10.1007/978-3-030-32959-4_6⟩ (2019)
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The SMarT Classifier for Arabic Fine-Grained Dialect Identification
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In: MADAR Shared Task: Arabic Fine-Grained Dialect Identification Dialect identification campaign ; The Fourth Arabic Natural Language Processing Workshop co-located with ACL ; https://hal.archives-ouvertes.fr/hal-02166384 ; The Fourth Arabic Natural Language Processing Workshop co-located with ACL, Aug 2019, Florence, Italy (2019)
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Script Independent Morphological Segmentation for Arabic Maghrebi Dialects: An Application to Machine Translation
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In: ISSN: 1405-5546 ; EISSN: 2007-9737 ; Computación y sistemas ; https://hal.archives-ouvertes.fr/hal-02274533 ; Computación y sistemas, Instituto Politécnico Nacional IPN Centro de Investigación en Computación, In press, 23 (3), pp.979-989. ⟨10.13053/cys-23-3-3267⟩ (2019)
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Maghrebi Arabic dialect processing: an overview
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In: ISSN: 2351-8715 ; Journal of International Science and General Applications ; https://hal.archives-ouvertes.fr/hal-01873779 ; Journal of International Science and General Applications, ISGA, 2018, 1 (2018)
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Machine translation for Arabic dialects (survey)
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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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Maghrebi Arabic dialect processing: an overview
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In: ICNLSSP 2017 - International Conference on Natural Language, Signal and Speech Processing ; https://hal.inria.fr/hal-01660001 ; ICNLSSP 2017 - International Conference on Natural Language, Signal and Speech Processing, ISGA, Dec 2017, Casablanca, Morocco (2017)
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Creating Parallel Arabic Dialect Corpus: Pitfalls to Avoid
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In: 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING) ; https://hal.archives-ouvertes.fr/hal-01557405 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), Apr 2017, Budapest, Hungary (2017)
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An Algerian dialect: Study and Resources
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In: ISSN: 2158-107X ; EISSN: 2156-5570 ; International journal of advanced computer science and applications (IJACSA) ; https://hal.archives-ouvertes.fr/hal-01297415 ; International journal of advanced computer science and applications (IJACSA), The Science and Information Organization, 2016, 7 (3), pp.384-396. ⟨10.14569/IJACSA.2016.070353⟩ (2016)
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Grapheme To Phoneme Conversion - An Arabic Dialect Case
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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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Building Resources for Algerian Arabic Dialects
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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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Abstract:
International audience ; The Algerian Arabic dialects are under-resourced languages, which lack both corpora and Natural Language Processing (NLP) tools, although they are increasingly used in written form, especially on social media and forums. We aim through this paper, and for the first time, to build parallel corpora for Algerian dialects, because our ultimate purpose is to achieve a Machine Translation (MT) for Modern Standard Arabic (MSA) and Algerian dialects (AD), in both directions. We also propose language tools to process these dialects. First, we developed a morphological analysis model of dialects by adapting BAMA, a well-known MSA analyzer. Then we propose a diacritization system, based on a MT process which allows to restore the vowels to dialects corpora. And finally, we propose results on machine translation between MSA and Algerian dialects.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing; Algerian dialect; Machine translation system; Modern Standard Arabic; Morphological analyzer
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URL: https://hal.inria.fr/hal-01066989 https://hal.inria.fr/hal-01066989/file/SmailiArabicDialectInterspeech2014.pdf https://hal.inria.fr/hal-01066989/document
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Diacritics Restoration for Arabic Dialects
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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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A Study of a Non-Resourced Language: The Case of one of the Algerian Dialects
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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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A study of non-resourced language: the case of an Algerian dialect ...
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Modeling Arabic Language using statistical methods
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In: ISSN: 1319-8025 ; EISSN: 2191-4281 ; Arabian Journal for Science and Engineering ; https://hal.inria.fr/inria-00582493 ; Arabian Journal for Science and Engineering, King Fahd University of Petroleum and Minerals SAUDI ARABIA - Springer (en ligne), 2010, Theme issue on Arabic Computing, 35 (2C), pp.69-82 (2010)
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