Davide Turcato


2001

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What is example-based machine translation?
Davide Turcato | Fred Popowich
Workshop on Example-Based machine Translation

We maintain that the essential feature that characterizes a Machine Translation approach and sets it apart from other approaches is the kind of knowledge it uses. From this perspective, we argue that Example-Based Machine Translation is sometimes characterized in terms of inessential features. We show that Example-Based Machine Translation, as long as it is linguistically principled, significantly overlaps with other linguistically principled approaches to Machine Translation. We make a proposal for translation knowledge bases that make such an overlap explicit.

2000

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A Parsing Methodology for Error Detection
Davide Turcato | Devlan Nicholson | Trude Heift | Janine Toole | Stavroula Tsiplakou
Proceedings of the Sixth International Workshop on Parsing Technologies

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Pre-processing Closed Captions for Machine Translation
Davide Turcato | Fred Popowich | Paul McFetridge | Devlan Nicholson | Janine Toole
ANLP-NAACL 2000 Workshop: Embedded Machine Translation Systems

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Adapting a synonym database to specific domains
Davide Turcato | Fred Popowich | Janine Toole | Dan Fass | Devlan Nicholson | Gordon Tisher
ACL-2000 Workshop on Recent Advances in Natural Language Processing and Information Retrieval

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An Approach to Lexical Development for Inflectional Languages
Davide Turcato | Janine Toole | Stavroula Tsiplakou | Trude Heift | Paul McFetridge
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

1999

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A bootstrap approach to automatically generating lexical transfer rules
Davide Turcato | Paul McFetridge | Fred Popowich | Janine Toole
Proceedings of Machine Translation Summit VII

We describe a method for automatically generating Lexical Transfer Rules (LTRs) from word equivalences using transfer rule templates. Templates are skeletal LTRs, unspecified for words. New LTRs are created by instantiating a template with words, provided that the words belong to the appropriate lexical categories required by the template. We define two methods for creating an inventory of templates and using them to generate new LTRs. A simpler method consists of extracting a finite set of templates from a sample of hand coded LTRs and directly using them in the generation process. A further method consists of abstracting over the initial finite set of templates to define higher level templates, where bilingual equivalences are defined in terms of correspondences involving phrasal categories. Phrasal templates are then mapped onto sets of lexical templates with the aid of grammars. In this way an infinite set of lexical templates is recursively defined. New LTRs are created by parsing input words, matching a template at the phrasal level and using the corresponding lexical categories to instantiate the lexical template. The definition of an infinite set of templates enables the automatic creation of LTRs for multi-word, non-compositional word equivalences of any cardinality.

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A unified example-based and lexicalist approach to Machine Translation
Davide Turcato | Paul McFetridge | Fred Popowich | Janine Toole
Proceedings of the 8th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

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Explanation-based learning for Machine Translation
Janine Toole | Fred Popowich | Devlan Nicholson | Davide Turcato | Paul McFetridge
Proceedings of the 8th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

1998

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Automatically Creating Bilingual Lexicons for Machine Translation from Bilingual Text
Davide Turcato
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2

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Automatically Creating Bilingual Lexicons for Machine Translation from Bilingual Text
Davide Turcato
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

1997

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A lexicalist approach to the translation of colloquial text
Fred Popowich | Davide Turcato | Olivier Laurens | Paul McFetridge | J. Devlan Nicholson | Patrick McGivern | Maricela Corzo-Pena | Lisa Pidruchney | Scott McDonald
Proceedings of the 7th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

1995

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Shake-and-Bake MT and Morphology
Davide Turcato
Proceedings of the Sixth Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages