Title | ||
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Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium. |
Abstract | ||
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In this paper, we describe two methods developed for sharing linguistic data between two free and open source rule based machine translation systems: Apertium, a shallow-transfer system; and Grammatical Framework (GF), which performs a deeper syntactic transfer. In the first method, we describe the conversion of lexical data from Apertium to GF, while in the second one we automatically extract Apertium shallow-transfer rules from a GF bilingual grammar. We evaluated the resulting systems in a English-Spanish translation context, and results showed the usefulness of the resource sharing and confirmed the a-priori strong and weak points of the systems involved. |
Year | Venue | Keywords |
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2014 | LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | rule-based machine translation,linguistic resource sharing,open-source linguistic resources |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Grégoire Détrez | 1 | 25 | 2.22 |
Víctor M. Sánchez-Cartagena | 2 | 37 | 8.25 |
Aarne Ranta | 3 | 316 | 36.02 |