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Challenges for Arabic Machine Translation /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Soudi, Abdelhadi
Otros Autores: Farghaly, Ali, Neumann, Günter, Zbib, Rabih
Formato: Electrónico eBook
Idioma:Inglés
Arabic
Publicado: Amsterdam/Philadelphia : John Benjamins Publishing Company, 2012.
Colección:Natural language processing.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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.
Notas:2. Related work.
Descripción Física:1 online resource (165 pages)
Bibliografía: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.
ISBN:9789027273628
9027273626
9789027249951
9027249954
1283521547
9781283521543
9786613833990
6613833991