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List of FiguresList of TablesPrefaceAcknowledgmentsAbout the AuthorIntroductionA Feel for a Modern Approach to Machine Translation: Data-Driven MTMT Approaches: Vauquois TriangleUnderstanding Transfer over the Vauquois TriangleUnderstanding Ascending and Descending TransferLanguage Divergence with I...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
Taylor & Francis, A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Franck, Chapman and Hall/CRC,
2015.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Bhattacharyya, Pushpak, |e author. | |
| 245 | 1 | 0 | |a Machine translation / |c Pushpak Bhattacharyya. |
| 264 | 1 | |a Boca Raton : |b Taylor & Francis, A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Franck, Chapman and Hall/CRC, |c 2015. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Acknowledgments; About the Author; 1: Introduction; 2: Learning Bilingual Word Mappings; 3: IBM Model of Alignment; 4: Phrase-Based Machine Translation; 5: Rule-Based Machine Translation (RBMT); 6: Example-Based Machine Translation. | |
| 520 | |6 880-01 |a List of FiguresList of TablesPrefaceAcknowledgmentsAbout the AuthorIntroductionA Feel for a Modern Approach to Machine Translation: Data-Driven MTMT Approaches: Vauquois TriangleUnderstanding Transfer over the Vauquois TriangleUnderstanding Ascending and Descending TransferLanguage Divergence with Illustration between Hindi and EnglishSyntactic DivergenceLexical-Semantic DivergenceThree Major Paradigms of Machine TranslationMT EvaluationAdequacy and FluencyAutomatic Evaluation of MT OutputSummaryFurther ReadingLearning Bilingual Word MappingsA Combinatorial ArgumentNecessary and Sufficient Con. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine translating. | |
| 650 | 0 | |a Translating and interpreting |x Data processing. | |
| 650 | 6 | |a Traduction automatique. | |
| 650 | 7 | |a FOREIGN LANGUAGE STUDY |x Multi-Language Phrasebooks. |2 bisacsh | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Alphabets & Writing Systems. |2 bisacsh | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Grammar & Punctuation. |2 bisacsh | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Linguistics |x General. |2 bisacsh | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Readers. |2 bisacsh | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Spelling. |2 bisacsh | |
| 650 | 7 | |a Machine translating |2 fast | |
| 650 | 7 | |a Translating and interpreting |x Data processing |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Bhattacharyya, Pushpak. |t Machine translation. |z 9781439897188 |z 1439897182 |w (DLC) 2014024895 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781439897188/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 880 | 8 | |6 520-01/(S |a PhrasesAn Example to Illustrate Phrase Alignment TechniqueTwo-Way AlignmentsSymmetrizationExpansion of Aligned Words to PhrasesPhrase TableMathematics of Phrase-Based SMTUnderstanding Phrase-Based Translation through an ExampleDeriving Translation Model and Calculating Translation and Distortion ProbabilitiesGiving Different Weights to Model ParametersFixing λ Values: TuningDecodingExample to Illustrate DecodingMosesInstalling MosesWorkflow for Building a Phrase-Based SMT SystemPreprocessing for MosesTraining Language ModelTraining Phrase ModelTuningDecoding Test DataEvaluation MetricMore on MosesSummaryFurther ReadingRule-Based Machine Translation (RBMT)Two Kinds of RBMT: Interlingua and TransferWhat Exactly Is InterlinguaIllustration of Different Levels of TransferUniversal Networking Language (UNL)Illustration of UNLUNL Expressions as Binary PredicatesWhy UNLInterlingua and Word KnowledgeHow Universal Are UWsUWs and MultilingualityUWs and MultiwordsUW Dictionary and WordnetComparing and Contrasting UW Dictionary and WordnetTranslation Using InterlinguaIllustration of Analysis and GenerationDetails of English-to-UNL Conversion: With IllustrationIllustrated UNL GenerationUNL-to-Hindi Conversion: With IllustrationFunction Word InsertionCase Identification and Morphology GenerationRepresentative Rules for Function Words InsertionSyntax PlanningTransfer-Based MTWhat Exactly Are Transfer RulesCase Study of Marathi-Hindi Transfer-Based MTKrudant: The Crux of the Matter in M-H MTM-H MT SystemSummaryFurther ReadingExample-Based Machine TranslationIllustration of Essential Steps of EBMTDeeper Look at EBMT's WorkingWord MatchingMatching of HaveEBMT and Case-Based ReasoningText Similarity ComputationWord Based SimilarityTree and Graph Based SimilarityCBR's Similarity Computation Adapted to EBMTRecombination: Adaptation on Retrieved ExamplesBased on. | |
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