Recent Advances in Example-Based Machine Translation is of
relevance to researchers and program developers in the field of
Machine Translation and especially Example-Based Machine
Translation, bilingual text processing and cross-linguistic
information retrieval. It is also of interest to translation
technologists and localisation professionals.
Recent Advances in Example-Based Machine Translation fills a
void, because it is the first book to tackle the issue of EBMT in
depth. It gives a state-of-the-art overview of EBMT techniques and
provides a coherent structure in which all aspects of EBMT are
embedded. Its contributions are written by long-standing
researchers in the field of MT in general, and EBMT in particular.
This book can be used in graduate-level courses in machine
translation and statistical NLP.
General
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