Spoken Arabic Dialect Identification Using Motif Discovery
نویسندگان
چکیده
منابع مشابه
Spoken Arabic Dialect Identification Using Phonotactic Modeling
The Arabic language is a collection of multiple variants, among which Modern Standard Arabic (MSA) has a special status as the formal written standard language of the media, culture and education across the Arab world. The other variants are informal spoken dialects that are the media of communication for daily life. Arabic dialects differ substantially from MSA and each other in terms of phono...
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The written form of the Arabic language, Modern Standard Arabic (MSA), differs in a nontrivial manner from the various spoken regional dialects of Arabic – the true “native languages” of Arabic speakers. Those dialects, in turn, differ quite a bit from each other. However, due to MSA’s prevalence in written form, almost all Arabic datasets have predominantly MSA content. In this article, we des...
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In daily communications, Arabs use local dialects which are hard to identify automatically using conventional classification methods. The dialect identification challenging task becomes more complicated when dealing with an under-resourced dialects belonging to a same county/region. In this paper, we start by analyzing statistically Algerian dialects in order to capture their specificities rela...
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Several recent papers on Arabic dialect identification have hinted that using a word unigram model is sufficient and effective for the task. However, most previous work was done on a standard fairly homogeneous dataset of dialectal user comments. In this paper, we show that training on the standard dataset does not generalize, because a unigram model may be tuned to topics in the comments and d...
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ژورنال
عنوان ژورنال: The Egyptian Journal of Language Engineering
سال: 2018
ISSN: 2356-8216
DOI: 10.21608/ejle.2018.59306