{"product_id":"machine-translation-9781439897188","title":"Machine Translation","description":"\u003cp\u003e • Author(s): Pushpak Bhattacharyya\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Statistics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThree 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.\u003c\/p\u003e\u003cp\u003eMachine Translation compares and contrasts the salient principles and practices of RBMT, SMT, and EBMT. Offering an exposition of language phenomena followed by modeling and experimentation, the text: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eIntroduces MT against the backdrop of language divergence and the Vauquois triangle\u003c\/li\u003e \u003cli\u003ePresents expectation maximization (EM)-based word alignment as a turning point in the history of MT\u003c\/li\u003e \u003cli\u003eDiscusses the most important element of SMT--bilingual word alignment from pairs of parallel translations\u003c\/li\u003e \u003cli\u003eExplores the IBM models of MT, explaining how to find the best alignment given a translation pair and how to find the best translation given a new input sentence\u003c\/li\u003e \u003cli\u003eCovers the mathematics of phrase-based SMT, phrase-based decoding, and the Moses SMT environment\u003c\/li\u003e \u003cli\u003eProvides complete walk-throughs of the working of interlingua-based and transfer-based RBMT\u003c\/li\u003e \u003cli\u003eAnalyzes EBMT, showing how translation parts can be extracted and recombined to translate a new input, all automatically\u003c\/li\u003e \u003cli\u003eIncludes numerous examples that illustrate universal translation phenomena through the usage of specific languages\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003cb\u003eMachine Translation\u003c\/b\u003e is designed for advanced undergraduate-level and graduate-level courses in machine translation and natural language processing. The book also makes a handy professional reference for computer engineers.\u003c\/p\u003e\u003cp\u003ePrint Versions of this book also include access to the ebook version.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45236885684375,"sku":"9781439897188","price":7886.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781439897188.webp?v=1769214860","url":"https:\/\/atlanticbooks.com\/products\/machine-translation-9781439897188","provider":"Atlantic Books","version":"1.0","type":"link"}