Bhattacharyya, Pushpak,

Machine translation / by Pushpak Bhattacharyya. - First edition. - 1 online resource (260 pages) : 104 illustrations

chapter 1 Introduction -- chapter 2 Learning Bilingual Word Mappings -- chapter 3 IBM Model of Alignment -- chapter 4 Phrase-Based Machine Translation -- chapter 5 Rule-Based Machine Translation (RBMT) -- chapter 6 Example-Based Machine Translation.

Three paradigms have dominated machine translation (MT)-rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT) These paradigms differ in the way they handle the three fundamental processes in MT-analysis, transfer, and generation (ATG) In its pure form, RBMT uses rules, while SMT uses data. EBMT tries a combination-data supplies translation parts that rules recombine to produce translation.

9780429086298


COMPUTERS / Machine Theory.
MATHEMATICS / General.
Machine translating.
Machine translating.
Translating and interpreting--Data processing.
Translating and interpreting--Data processing.
FOREIGN LANGUAGE STUDY / Multi-Language Phrasebooks.
LANGUAGE ARTS & DISCIPLINES / Alphabets & Writing Systems.
LANGUAGE ARTS & DISCIPLINES / Grammar & Punctuation.
LANGUAGE ARTS & DISCIPLINES / Linguistics / General.
LANGUAGE ARTS & DISCIPLINES / Readers.
LANGUAGE ARTS & DISCIPLINES / Spelling.

P308

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