19.1362, Books: Computational Ling/Translation: Vandeghinste

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LINGUIST List: Vol-19-1362. Tue Apr 22 2008. ISSN: 1068 - 4875.

Subject: 19.1362, Books: Computational Ling/Translation: Vandeghinste

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1)
Date: 18-Apr-2008
From: Josephine Mul < lot at let.uu.nl >
Subject: A Hybrid Modular Machine Translation System: Vandeghinste

 

	
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Date: Tue, 22 Apr 2008 22:59:38
From: Josephine Mul [lot at let.uu.nl]
Subject: A Hybrid Modular Machine Translation System: Vandeghinste
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Title: A Hybrid Modular Machine Translation System 
Publication Year: 2008 
Publisher: Netherlands Graduate School of Linguistics / Landelijke - LOT
	   http://www.lotpublications.nl/
	
Author: Vincent Vandeghinste

Paperback: ISBN:  9789078328506 Pages: 313 Price: Europe EURO 25.86


Abstract:

In this thesis, we present the LoRe-MT system (Low Resources Machine
Translation) to translate Dutch to English.  It is a demonstration of
techniques for constructing MT systems for languages lacking extensive
resources like bilingual corpora or complex parsers (so called low resource
languages).  We develop and test methods for relatively cheaply and easily
building MT systems for new language pairs where extensive pre-existing
resources may not be available.

This thesis describes the system in detail, the resources used in its
development, and extensively evaluates it and its components.

The LoRe-MT system is a response to several important MT implementation
problems:

How far can we go in implementing quality MT systems using only basic
tools and rudimentary resources like shallow source language analysis,
bilingual dictionaries and processed monolingual target language corpora?

Can we resolves word and phrase order issues using exclusively target
language corpora?

Is it possible to perform adequate lexical selection (choosing the correct
translation from a set of candidates) using only target language corpora?

This thesis includes a general introduction to the problems posed by
machine translation, and proceeds to describe in detail the processed used
in translation:

*Minimal resource shallow source analysis

*Source to target language transfer using a bilingual dictionary and a very
small rule set

*Matching outputs to the contents of target language corpora in order to
extract the most likely correct target language sentence structure

This system and the implementation choices we made are evaluated in depth,
and we discuss the potential for each component to be reused in other
natural language processing tasks.  We also provide an outline for future
work and development of the LoRe-MT paradigm.

Keywords: hybrid machine translation, low resource languages, Dutch to
English translation 



Linguistic Field(s): Computational Linguistics
                     Translation

Subject Language(s): Dutch (nld)
                     English (eng)


Written In: English  (eng)
	
See this book announcement on our website: 
http://linguistlist.org/get-book.html?BookID=35003


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