Challenges for Arabic Machine Translation / Abdelhadi Soudi. | Kütüphane.osmanlica.com

Challenges for Arabic Machine Translation / Abdelhadi Soudi.

İsim Challenges for Arabic Machine Translation / Abdelhadi Soudi.
Yazar Farghaly, Ali., Neumann, Günter., Zbib, Rabih.
Basım Tarihi: 2012
Basım Yeri - John Benjamins Publishing Company
Konu Machine translating., English language -- Translating into Arabic., Arabic language -- Translating into English., Speech processing systems.
Tür Kitap
Dil İngilizce
Dijital Evet
Yazma Hayır
Sayfa Sayısı 165
Fiziksel Boyutlar 1 online resource (165 pages)
Kütüphane: Üniversite Koleji Dublin Kütüphanesi
Demirbaş Numarası 9786613833990
Kayıt Numarası b2960062
Lokasyon In collection: Ebook Central Academic Complete UKI Edition
Tarih 2012
Notlar 2. Related work.
Örnek Metin This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry.
Bibliyografya ReferencesArabic Preprocessing for Statistical Machine Translation; 1. Introduction; 2. Related Work; 3. Arabic Linguistic Issues; 3.1 Orthographic Ambiguity; 3.2 Clitics; 3.3 Adjustment Rules; 3.4 Templatic Inflections; 4. Preprocessing: Schemes and Techniques; 4.1 Preprocessing Techniques; 4.1.1 REGEX; 4.1.2 BAMA; 4.1.3 MADA; 4.2 Preprocessing Schemes; 4.3 Comparing Various Schemes; 5 Experiments; 5.1 Portage; 5.2 Experimental data; 5.3 Experimental Results; 5.4 Discussion; 5.5 Genre Variation; 5.6 Phrase Size; 6. Scheme Combination; 6.1 Oracle Experiment; 6.2 Rescoring-only Combination.
Seri Natural Language Processing, Natural language processing.
Kaynağa git Üniversite Koleji Dublin Kütüphanesi University College Dublin Library
University College Dublin Library Üniversite Koleji Dublin Kütüphanesi
Kaynağa git

Challenges for Arabic Machine Translation / Abdelhadi Soudi.

Yazar Farghaly, Ali., Neumann, Günter., Zbib, Rabih.
Basım Tarihi 2012
Basım Yeri - John Benjamins Publishing Company
Konu Machine translating., English language -- Translating into Arabic., Arabic language -- Translating into English., Speech processing systems.
Tür Kitap
Dil İngilizce
Dijital Evet
Yazma Hayır
Sayfa Sayısı 165
Fiziksel Boyutlar 1 online resource (165 pages)
Kütüphane Üniversite Koleji Dublin Kütüphanesi
Demirbaş Numarası 9786613833990
Kayıt Numarası b2960062
Lokasyon In collection: Ebook Central Academic Complete UKI Edition
Tarih 2012
Notlar 2. Related work.
Örnek Metin This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry.
Bibliyografya ReferencesArabic Preprocessing for Statistical Machine Translation; 1. Introduction; 2. Related Work; 3. Arabic Linguistic Issues; 3.1 Orthographic Ambiguity; 3.2 Clitics; 3.3 Adjustment Rules; 3.4 Templatic Inflections; 4. Preprocessing: Schemes and Techniques; 4.1 Preprocessing Techniques; 4.1.1 REGEX; 4.1.2 BAMA; 4.1.3 MADA; 4.2 Preprocessing Schemes; 4.3 Comparing Various Schemes; 5 Experiments; 5.1 Portage; 5.2 Experimental data; 5.3 Experimental Results; 5.4 Discussion; 5.5 Genre Variation; 5.6 Phrase Size; 6. Scheme Combination; 6.1 Oracle Experiment; 6.2 Rescoring-only Combination.
Seri Natural Language Processing, Natural language processing.
University College Dublin Library
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