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Smart Paradigms and the Predictability and Complexity of Inflectional Morphology
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In: http://www.aclweb.org/anthology-new/E/E12/E12-1066.pdf
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Smart Paradigms and the Predictability and Complexity of Inflectional Morphology
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In: http://www.cse.chalmers.se/%7Eaarne/articles/smart-preprint.pdf
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Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf
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Abstract:
Abstract 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.
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URL: http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1073.5627
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