Improved Translation Quality with Machine Translation Dictionary Building by Jeff Allen

Improved Translation Quality with Machine Translation Dictionary Building

By Jeff Allen. Submitted on June 7, 2006

About the author: Jeff Allen has over a decade of experience in: translation, technical writing, localization, controlled language authoring software and writing guidelines, machine translation (MT) systems, translation memory (TM) tools, multilingual text and speech databases, speech recognition and synthesis technologies, OCR, SGML, XML, documentation Workflows, minority language engineering tools, language teaching, datawarehousing, and business intelligence reporting tools.

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Introduction

This article describes a project which specifically aimed at improving the quality of Machine
Translation (MT) output by creating:

a custom user Machine Translation (MT) dictionary, and
a set of preserved/Not-to-translate words, using a proven methodology by a well-trained MT software user.

The guiding principle is that it is possible to override general dictionary entries and grammatical rules of the translation software in order to create a very usable, good quality output text for further MT postediting. The upfront text analysis and dictionary development can be conducted in a short period of time, even conducted manually without the help of (semi-)automated terminology extraction tools. This approach to dictionary building also allows for a very optimal number of dictionary entries (1/3 of the initially proposed candidates) to produce the same translation as would take place with a full, maximal set of dictionary entries.

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