Bhattacharyya, Pushpak, <br/><br/>
Machine translation / 
by Pushpak Bhattacharyya. 
 - First edition. 
 - 1 online resource (260 pages) :  104 illustrations 
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9780429086298 
<br/><br/><label>Subjects--Topical Terms: </label><br/>COMPUTERS / Machine Theory.<br/>MATHEMATICS / General.<br/>Machine translating.<br/>Machine translating.<br/>Translating and interpreting--Data processing.<br/>Translating and interpreting--Data processing.<br/>FOREIGN LANGUAGE STUDY / Multi-Language Phrasebooks.<br/>LANGUAGE ARTS & DISCIPLINES / Alphabets & Writing Systems.<br/>LANGUAGE ARTS & DISCIPLINES / Grammar & Punctuation.<br/>LANGUAGE ARTS & DISCIPLINES / Linguistics / General.<br/>LANGUAGE ARTS & DISCIPLINES / Readers.<br/>LANGUAGE ARTS & DISCIPLINES / Spelling.
<br/><br/><label>LC Class. No.: </label>P308 
<br/><br/><label>Dewey Class. No.: </label>418/.020285