JICST machine translation system(2). Morphological analysis.
نویسندگان
چکیده
منابع مشابه
Morphological Analysis for Statistical Machine Translation
We present a novel morphological analysis technique which induces a morphological and syntactic symmetry between two languages with highly asymmetrical morphological structures to improve statistical machine translation qualities. The technique pre-supposes fine-grained segmentation of a word in the morphologically rich language into the sequence of prefix(es)-stem-suffix(es) and part-of-speech...
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In this paper, we present a novel morphology preprocessing technique for ArabicEnglish translation. We exploit the Arabic morphology-English alignment to learn a model removing nonaligned Arabic morphemes. The model is an instance of the Conditional Random Field (Lafferty et al., 2001) model; it deletes a morpheme based on the morpheme’s context. We achieved around two BLEU points improvement o...
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This paper describes the Aalto submission for the German-to-English and the Czechto-English translation tasks of the ACL 2010 Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR. Statistical machine translation has focused on using words, and longer phrases constructed from words, as tokens in the system. In contrast, we apply different morphological decompositions of words ...
متن کاملApplying morphological decomposition to statistical machine translation
This paper describes the Aalto submission for the German-to-English and the Czechto-English translation tasks of the ACL 2010 Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR. Statistical machine translation has focused on using words, and longer phrases constructed from words, as tokens in the system. In contrast, we apply different morphological decompositions of words ...
متن کاملUnsupervised Morphological Segmentation for Statistical Machine Translation
Statistical Machine Translation (SMT) techniques often assume the word is the basic unit of analysis. These techniques work well when producing output in languages like English, which has simple morphology and hence few word forms, but tend to perform poorly on languages like Finnish with very complex morphological systems with a large vocabulary. This thesis examines various methods of augment...
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ژورنال
عنوان ژورنال: Journal of Information Processing and Management
سال: 1994
ISSN: 0021-7298,1347-1597
DOI: 10.1241/johokanri.37.227