Machine translation (MT) was one of the first non-numerical applications of the computer in the 1950s and 1960s. With limited equipment and programming tools, researchers from a wide range of disciplines (electronics, linguistics, mathematics, engineering, etc.) tackled the unknown problems of language analysis and processing, investigated original and innovative methods and techniques, and laid the foundations not just of current MT systems and computerized tools for translators but also of natural language processing in general. This volume contains contributions by or about the major MT pioneers from the United States, Russia, East and West Europe, and Japan, with recollections of personal experiences, colleagues and rivals, the political and institutional background, the successes and disappointments, and above all the challenges and excitement of a new field with great practical importance. Each article includes a personal bibliography, and the editor provides an overview, chronology and list of sources for the period.

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.

Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.

Reviews developments in mechanical translation programs. Also considers NSF and CIA programs in comparison with research developments abroad, especially in the Soviet Union.

No detailed description available for "New Directions in Machine Translation".

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