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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés Arabic |
| Publicado: |
Amsterdam/Philadelphia :
John Benjamins Publishing Company,
2012.
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| Colección: | Natural language processing.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.