Hybrid Approaches to Machine Translation
IAI Working Paper No. 35
Oliver Streiter, Michael Carl, Johann Haller (Editors)
http://rockey.iis.sinica.edu.tw
In order to offer a general overview over current trends in Machine
Translation, IAI, the Institute of Applied Information Sciences,
Saarbruecken, Germany has invited researchers to contribute to a
collection of research papers related to the topic of "Hybrid Approaches
to Machine Translation". The collection is now published in the form of
an IAI Working-paper to be made available as HTML-document on the web under
http://rockey.iis.sinica.edu.tw. The working paper contains 12
contributions and is structured as follows:
The RBMT Approach
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Linguistic and computational Motivations for the LOGOS Machine Translation
System Bernard E. Scott (in English)
Reusability of wide coverage linguistic resources in the construction
of an English-Basque MT system
Ilarraza, Mayor and Sarasola (in Spanish, English Extended Abstract)
Translation Memories
--------------------
Towards a Closer Integration of Termbases, Translation Memories, and
Parallel Corpora - A Translation - Oriented View -
Uwe Reinke (in English)
Evaluierung der linguistischen Leistungsfdhigkeit von Translation
Memory-Systemen - Ein Erfahrungsbericht
Uwe Reinke (in German, English Abstract)
Comparing and Linking different Architectures
---------------------------------------------
Linking Translation Memories with Example-Based Machine Translation
Michael Carl and Silvia Hansen (in English)
Towards a Model of Competence for Corpus-Based Machine Translation
Michael Carl (in English)
Towards a Dynamic Linkage of Example-Based and Rule-Base Machine Translation
Michael Carl, Leonid L. Iomdin, Cathrine Pease and Oliver Streiter (in English)
A Unified Example-Based and Lexicalist Approach to Machine Translation
Davide Turcato, Paul McFetridge, Fred Popowich and Janine Toole (in English)
Statistics and Learning
-----------------------
Learning, Forgetting and Remembering: Statistical Support for Rule-Based MT
Oliver Streiter, Leonid L. Iomdin, Munpyo Hong and Ute Hauck (in English)
Learning from Parallel Corpora: Experiments in Machine Translation
Leonid L. Iomdin and Oliver Streiter (in English, abstract in Russian)
Explanation-based Learning for Machine Translation Janine Toole,
Fred Popowich, Devlan Nicholson, Davide Turcato and Paul McFetridge
(in English)
Automatic Acquisition of a High-Precision Translation Lexicon from
Parallel Chinese-English Corpora
Zhao-Ming Gao (in English)
Bibliography
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