An Introduction to Machine Translation

The mechanization of translation has been one of humanity's oldest dreams. In the twentieth century it has become a reality, in the form of computer programs capable of translating a wide variety of texts from one natural language into another. This book introduces methods adopted in current systems

Hutchins, W. John and Harold L. Somers. Academic Press (1992). Books>Language>Localization>Machine Translation

Machine Translation Today and Tomorrow  

The field of machine translation (MT) was the pioneer research area in computational linguistics during the 1950s and 1960s. When it began, the assumed goal was the automatic translation of all kinds of documents at a quality equalling that of the best human translators. It became apparent very soon that this goal was impossible in the foreseeable future.

Hutchins, W. John. Gardez Vlg (2002). Articles>Language>History>Machine Translation

Machine Translation: General Overview  

This chapter introduces the main concepts and methods used for machine translation systems from the beginnings of research in the 1950s until about 1990; it covers the main approaches of rule-based systems (direct, interlingua, transfer, knowledge based), and the principal translation tools; and it concludes with a brief historical sketch.

Hutchins, W. John. Oxford Univ Press (2003). Articles>Language>Localization>Machine Translation

Towards a Definition of Example-Based Machine Translation  

The example-based approach to MT is becoming increasingly popular. However, such is the variety of techniques and methods used that it is difficult to discern the overall conception of what example- based machine translation (EBMT) is and/or what its practitioners conceive it to be. Although definitions of MT systems are notoriously complex, an attempt is made to define EBMT in contrast to other MT architectures (RBMT and SMT).

Hutchins, W. John. IAMT (2005). Articles>Language>Localization>Machine Translation