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Bestseller
BestsellerE-book
Author Soudi, Abdelhadi.

Title Challenges for Arabic Machine Translation.

Publication Info. Amsterdam/Philadelphia : John Benjamins Publishing Company, 2012.

Item Status

Description 1 online resource (165 pages).
Physical Medium polychrome
Description text file
Series Natural Language Processing
Natural language processing.
Contents Challenges for Arabic Machine Translation; Editorial page; Title page; LCC data; Table of contents; Preface; Introduction; 1. Overview; 2. Challenges of Arabic machine translation; 3. Arabic linguistic resources; 4. Example-based machine translation; 5. Statistical machine translation; 6. Knowledge-based machine translation; 7. Arabic transliteration scheme; References; Linguistic resources for Arabic machine translation; 1. Introduction; 2. LDC's distribution model; 3. Arabic speech collections; 4. Arabic text collections; 4.1 Parallel text; 4.2 NIST resources.
5. Arabic morphological analyzer6. Arabic treebank and parallel English treebank; 7. Arabic-English word alignment; 8. Additional resources; References; Using morphology to improve Example-Based Machine Translation; 1. Introduction; 2. Example-Based Machine Translation: What is it and why use it?; 3. Adding morphology to EBMT for Arabic-to-English translation; 3.1 Generalization and morphological analysis in BAMA; 3.2 Phase 1: Focus on generalization and filtering; 3.2.1 Generalization; 3.2.2 Filtering; 3.2.3 Generalization and filtering are not enough.
3.3 Phase 2: Generalization, filtering and adaptation3.3.1 Generalization; 3.3.2 Filtering and adaptation; 3.3.3 Scoring; 3.3.4 Results; 4. Related work; 5. Summary and conclusions; References; Using semantic equivalents for Arabic-to-English example-based translation; 1. Introduction; 2. Related work; 3. System description; 3.1 Translation corpus; 3.2 Matching; 4. Noun experiment; 4.1 The noun thesaurus; 4.2 Using noun synonyms for translation; 4.3 Experimental results; 5. Verb experiment; 5.1 The verb thesaurus; 5.2 Using synonyms in translation; 5.3 Experimental results; 6. Conclusions.
Bibliography 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.
Contents 6.3 Decoding-plus-Rescoring Combination6.4 Significance Test; 7. Conclusions; Acknowledgments; References; Preprocessing for English-to-Arabic statistical machine translation; 1. Introduction; 2. Morphological preprocessing for English-to-Arabic SMT; 2.1 Morphological segmentation of Arabic; 2.2 Recombination of segmented Arabic; 2.3 Experimental setup; 2.4 Experimental results; 3. Syntactic preprocessing for English-to-Arabic SMT; 3.1 Related work; 3.2 Reordering rules; 3.3 Experimental setup; 3.4 Results; 4. Summary; References; Lexical syntax for Arabic SMT; 1. Introduction.
Note 2. Related work.
Summary 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. It is a welcome and much-needed r.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Machine translating.
Machine translating.
English language -- Translating into Arabic.
English language -- Translating into Arabic.
Arabic language -- Translating into English.
Arabic language -- Translating into English.
Speech processing systems.
Speech processing systems.
Genre/Form Electronic books.
Added Author Farghaly, Ali.
Neumann, Günter.
Zbib, Rabih.
Other Form: Print version: Soudi, Abdelhadi. Challenges for Arabic Machine Translation. Amsterdam/Philadelphia : John Benjamins Publishing Company, ©2012 9789027249951
ISBN 9789027273628 (electronic book)
9027273626 (electronic book)
9789027249951 (Cloth)
9027249954 (Cloth)
Standard No. 9786613833990