A rule-based stemmer for Arabic Gulf dialect

Abuata, Belal; Al-Omari, Asma

doi:10.1016/j.jksuci.2014.04.003

Cited by 27 publications

(22 citation statements)

References 8 publications

(2 reference statements)

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“…Examples for such analyzers are ADAM (Analyzer for Dialectal Arabic Morphology) [38]. AbuAtta and Al-Omari [39] also attempts to produce stem for words written in Gulf dialect. As in ADAM, the authors developed a set of morphological rules to remove suffixes and prefixes from Arabic Gulf dialect texts.…”

Section: Light-based Stemming and Affix Truncationmentioning

confidence: 99%

A Comparative Survey on Arabic Stemming: Approaches and Challenges

Mustafa¹,

Eldeen²,

Bani‐Ahmad³

et al. 2017

IIM

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Arabic, as one of the Semitic languages, has a very rich and complex morphology, which is radically different from the European and the East Asian languages. The derivational system of Arabic, is therefore, based on roots, which are often inflected to compose words, using a spectacular and a relatively large set of Arabic morphemes affixes, e.g., antefixs, prefixes, suffixes, etc. Stemming is the process of rendering all the inflected forms of word into a common canonical form. Stemming is one of the early and major phases in natural processing, machine translation and information retrieval tasks. A number of Arabic language stemmers were proposed. Examples include light stemming, morphological analysis, statistical-based stemming, N-grams and parallel corpora (collections). Motivated by the reported results in the literature, this paper attempts to exhaustively review current achievements for stemming Arabic texts. A variety of algorithms are discussed. The main contribution of the paper is to provide better understanding among existing approaches with the hope of building an error-free and effective Arabic stemmer in the near future.

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Section: Light-based Stemming and Affix Truncationmentioning

confidence: 99%

A Comparative Survey on Arabic Stemming: Approaches and Challenges

Mustafa¹,

Eldeen²,

Bani‐Ahmad³

et al. 2017

IIM

View full text Add to dashboard Cite

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“…And very recently presented a single pipeline to produce a morphological analyzer and tagger from a single annotation of a corpus; they produced resources for EGY and LEV. Other works that involve DA morphological modeling include the work of Abuata and Al-Omari (2015). Who developed a rule-based system to segment affixes and clitics in GLF text.…”

Section: Arabic Morphological Modelingmentioning

confidence: 99%

“…To our knowledge, there exist no full morphological analyzers for Gulf Arabic (GLF) that produce segmentation, POS analysis and lemmas. Although we note the work of Abuata and Al-Omari (2015) on developing a Gulf Arabic stemmer. In this paper, we present CALIMA GLF , 1 a morphological analyzer for GLF.…”

Section: Introductionmentioning

confidence: 99%

A Morphological Analyzer for Gulf Arabic Verbs

Khalifa¹,

Hassan²,

Habash³

2017

Proceedings of the Third Arabic Natural Language Processing Workshop

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We present CALIMA GLF , a Gulf Arabic morphological analyzer currently covering over 2,600 verbal lemmas. We describe in detail the process of building the analyzer starting from phonetic dictionary entries to fully inflected orthographic paradigms and associated lexicon and orthographic variants. We evaluate the coverage of CALIMA GLF against Modern Standard Arabic and Egyptian Arabic analyzers on part of a Gulf Arabic novel. CALIMA GLF verb analysis token recall for identifying correct POS tag outperforms both the Modern Standard Arabic and Egyptian Arabic analyzers by over 27.4% and 16.9% absolute, respectively.

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“…Dengan materi itulah yan dapat diulang-ulangi sekaligus digunakan sebagai sebuah keterampilan. Belajar melibatkan aktivitas mengingat yang terencana dan disertai dengan keterampilan (Norman, 1982 (Abuata & Al-omari, 2015).…”

Section: Beberapa Hukum Belajarunclassified

Aplikasi Dan Prinsip Belajar Dalam Pembelajaran Bahasa Arab Perguruan Tinggi Minoritas Muslim

Wekke¹,

Faishol²

2017

Preprint

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Belajar bahasa Arab dalam setiap tingkatan pendidikan formal berbeda antara satu jenjang dengan kelas lainnya. Dengan demikian, kelas-kelas pembelajaran bahasa Arab di perguruan tinggi memiliki kekhasan tersendiri. Untuk itu, penelitian ini akan menganalisis situasi pembelajaran di perguruan tinggi minoritas muslim. Studi kasus penelitian mengkaji secara khusus Sekolah Tinggi Agama Islam Negeri (STAIN) Sorong. Penelitian ini menunjukkan dua hal yaitu aplikasi dan prinsip belajar yang dipraktikkkan dalam mengakselerasi keterampilan berbahasa mahasiswa. Beberapa kegiatan tambahan yang dilaksanakan diluar jam pelajaran untuk membantu penguasaan berbahasa. Termasuk dengan program intensifikasi selama satu semester dengan pembelajaran yang mengutamakan pada kemampuan penguasaan studi Islam. Usaha ini dilakukan untuk mengintegrasikan keterampilan berbahasa yang akan dijadikan sebagai pemahaman awal dalam kajian beberapa materi keislaman yang mempersyaratkan kemampuan berbahasa Arab. Keterampilan paling minimal yang diperlukan adalah kemampuan membaca dengan pemahaman pada ide tulisan. Akhirnya, aplikasi dan prinsip diterapkan menjadi model tersendiri untuk menuntaskan capaian belajar yang dituju.

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A rule-based stemmer for Arabic Gulf dialect

Cited by 27 publications

References 8 publications

A Comparative Survey on Arabic Stemming: Approaches and Challenges

A Comparative Survey on Arabic Stemming: Approaches and Challenges

A Morphological Analyzer for Gulf Arabic Verbs

Aplikasi Dan Prinsip Belajar Dalam Pembelajaran Bahasa Arab Perguruan Tinggi Minoritas Muslim

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