Cross-Dialectal Arabic Processing
Identifieur interne : 000583 ( Main/Exploration ); précédent : 000582; suivant : 000584Cross-Dialectal Arabic Processing
Auteurs : Salima Harrat [Algérie] ; Karima Meftouh [Algérie] ; Mourad Abbas [Algérie] ; Salma Jamoussi [Tunisie] ; Motaz Saad [France] ; Kamel Smaili [France]Source :
Abstract
We present, in this paper an Arabic multi-dialect study including dialects from both the Maghreb and the Middle-east that we compare to the Modern Standard Arabic (MSA). Three dialects from Maghreb are concerned by this study: two from Algeria and one from Tunisia and two dialects from Middle-east (Syria and Palestine). The resources which have been built from scratch have lead to a collection of a multi-dialect parallel resource. Furthermore, this collection has been aligned by hand with a MSA corpus. We conducted several analytical studies in order to understand the relationship between these vernacular languages. For this, we studied the closeness between all the pairs of dialects and MSA in terms of Hellinger distance. We also performed an experiment of dialect identification. This experiment showed that neighbouring dialects as expected tend to be confused, making difficult their identification. Because the Arabic dialects are different from one region to another which make the communication between people difficult, we conducted cross-lingual machine translation between all the pairs of dialects and also with MSA. Several interesting conclusions have been carried out from this experiment.
Url:
DOI: 10.1007/978-3-319-18111-0_47
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 001995
- to stream Hal, to step Curation: 001995
- to stream Hal, to step Checkpoint: 000565
- to stream Main, to step Merge: 000583
- to stream Main, to step Curation: 000583
Le document en format XML
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BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-413289" type="indirect"><org type="institution" xml:id="struct-413289" status="VALID"><idno type="IdRef">157040569</idno><idno type="IdUnivLorraine">[UL]100--</idno><orgName>Université de Lorraine</orgName><orgName type="acronym">UL</orgName><date type="start">2012-01-01</date><desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic><idno type="DOI">10.1007/978-3-319-18111-0_47</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We present, in this paper an Arabic multi-dialect study including dialects from both the Maghreb and the Middle-east that we compare to the Modern Standard Arabic (MSA). Three dialects from Maghreb are concerned by this study: two from Algeria and one from Tunisia and two dialects from Middle-east (Syria and Palestine). The resources which have been built from scratch have lead to a collection of a multi-dialect parallel resource. Furthermore, this collection has been aligned by hand with a MSA corpus. We conducted several analytical studies in order to understand the relationship between these vernacular languages. For this, we studied the closeness between all the pairs of dialects and MSA in terms of Hellinger distance. We also performed an experiment of dialect identification. This experiment showed that neighbouring dialects as expected tend to be confused, making difficult their identification. Because the Arabic dialects are different from one region to another which make the communication between people difficult, we conducted cross-lingual machine translation between all the pairs of dialects and also with MSA. Several interesting conclusions have been carried out from this experiment.</div></front></TEI><affiliations><list><country><li>Algérie</li><li>France</li><li>Tunisie</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="Algérie"><noRegion><name sortKey="Harrat, Salima" sort="Harrat, Salima" uniqKey="Harrat S" first="Salima" last="Harrat">Salima Harrat</name></noRegion><name sortKey="Abbas, Mourad" sort="Abbas, Mourad" uniqKey="Abbas M" first="Mourad" last="Abbas">Mourad Abbas</name><name sortKey="Meftouh, Karima" sort="Meftouh, Karima" uniqKey="Meftouh K" first="Karima" last="Meftouh">Karima Meftouh</name></country><country name="Tunisie"><noRegion><name sortKey="Jamoussi, Salma" sort="Jamoussi, Salma" uniqKey="Jamoussi S" first="Salma" last="Jamoussi">Salma Jamoussi</name></noRegion></country><country name="France"><region name="Grand Est"><name sortKey="Saad, Motaz" sort="Saad, Motaz" uniqKey="Saad M" first="Motaz" last="Saad">Motaz Saad</name></region><name sortKey="Smaili, Kamel" sort="Smaili, Kamel" uniqKey="Smaili K" first="Kamel" last="Smaili">Kamel Smaili</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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