Machine Translation: 1st Edition (e-Book) book cover

Machine Translation

1st Edition

By Pushpak Bhattacharyya

Chapman and Hall/CRC

260 pages

Purchasing Options:$ = USD
Pack - Book and Ebook: 9781439897188
pub: 2015-01-13
$96.00
x
eBook (VitalSource) : 9780429086298
pub: 2015-02-04
from $39.98


FREE Standard Shipping!

Description

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

Table of Contents

Introduction. Learning Bilingual Word Mappings. IBM Model of Alignment. Phrase-Based Machine Translation. Rule-Based Machine Translation. Example-Based Machine Translation.

About the Author

Pushpak Bhattacharyya is Vijay and Sita Vashee chair professor of computer science and engineering at the Indian Institute of Technology (IIT) Bombay, where he has been teaching and researching for the last 25 years. He was educated at IIT Kharagpur (B.Tech), IIT Kanpur (M.Tech), and IIT Bombay (Ph.D). While earning his Ph.D, he was visiting scholar at the Massachusetts Institute of Technology. Subsequently, he has been visiting professor at Stanford University and University of Grenoble, and distinguished lecturer at the University of Houston. Dr. Bhattacharyya's research interests include natural language processing, machine learning, machine translation, information extraction, sentiment analysis, and cross-lingual search, in which he has published extensively. Currently, he is associate editor of ACM Transactions on Asian Language Information Processing and vice president-elect of Association of Computational Linguistics (ACL).

Subject Categories

BISAC Subject Codes/Headings:
BUS061000
BUSINESS & ECONOMICS / Statistics
COM037000
COMPUTERS / Machine Theory
MAT000000
MATHEMATICS / General
MAT004000
MATHEMATICS / Arithmetic
TEC037000
TECHNOLOGY & ENGINEERING / Robotics