This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presenting numerous examples, the text introduces language divergence as the fundamental challenge to machine translation, emphasizes and works out word alignment, explores IBM models of machine translation, covers the mathematics of phrase-based SMT, provides complete walk-throughs of the working of interlingua-based and transfer-based RBMT, and analyzes EBMT, showing how translation parts can be extracted and recombined to automatically translate a new input.
Additional ISBNs
9781439897195, 9781439897201, 1439897190, 1439897204
Machine Translation Ebook
By: Pushpak Bhattacharyya
Publisher:
Chapman & Hall
Print ISBN: 9781439897188, 1439897182
eText ISBN: 9781439897201, 1439897204
Edition: 1st
Copyright year: 2015
Format: EPUB
Available from $ 57.75 USD
SKU: 9781439897201R180
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