JURNAL INTERNASIONAL

Journal of Theoritical and Apllied Information Technology

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Arabic noun compound extraction has become a challenging issue in the flied of NLP. SEveral approaches have beeb proposed in trems of extracting Arabic noun compouds. Some of them have usen linghuisticbased approach, other have used statiscal methos and the rest have used a hybrid between them. This research proposed a hybrid method of liguistic-based approach and statical method in order to solve the extraction of nested Arabic noun compound. The datased has been collated from online Arabic newspaper archive from Aljazeara.net Almotamar.net. Several pre-processing steps has been carried out on the data including trasformation, normazalition, stemming and POS tagging. After that, the n-gram model has generated bi-gram, tri gram, 4-gram, 5-gram candidates of noun compound. Them there association measure wgich are NC-value, PMI and LLR have been used in order to rank the candidates. the evaluation has been performed usen the n-best method with a human anatation (manual selection by expertise). NC-value has outperformed PMI and LLR in terms of extracting nested noun compounds.

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Ketersediaan

JI03220009

004.0285 JATIT J JurnalInternasional

Perpus STMIK (Jurnal Internasional)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

004.0285 JATIT J JurnalInternasional

Penerbit

USA : JATIT., 2014

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

1992 8645

Klasifikasi

004.8645

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Volume 67 Nomor 3 Tahun 2014

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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