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Modeling and Encoding Traditional Wordlists for Machine Applications
(Association for Computational Linguistics, 2010)
This paper describes work being done on the modeling and encoding of a legacy resource, the traditional descriptive wordlist, in ways that make its data accessible to NLP applications. We describe an abstract model ...
Automatic Learning of Grammatical Encoding
Avenue (Probst et al., 2002, Monson et al., 2004, Lavie et al., 2003, Font-Llitjoset al.,2005)1 is a machine translation system that automatically learns translation rules between two languages. In the Avenue scenario, one ...
Semi-Automated Elicitation Corpus Generation
In this document we will describe a semi-automated process for creating elicitation corpora. An elicitation corpus is translated by a bilingual consultant in order to produce high quality word aligned sentence pairs. The ...
The MILE Corpus for Less Commonly Taught Languages
(Association for Computational Linguistics, 2006)
This paper describes a small, structured English corpus that is designed for translation into Less Commonly Taught Languages (LCTLs), and a set of re-usable tools for creation of similar corpora. The corpus systematically ...
Modeling Wordlists via Semantic Web Technologies
We describe an abstract model for the traditional linguistic wordlist and provide an instantiation of the model in RDF/XML intended to be usable both for linguistic research and machine applications.