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- W72275503 abstract "We introduce an adaptable monolingual chunking approach–Alignment-Guided Chunking (AGC)–which makes use of knowledge of word alignments acquired from bilingualcorpora. Our approach is motivated by the observation that a sentence should be chunked differently dependingthe foreseen end-tasks. For example, given the differentrequirements of translation into (say) French and German, it is inappropriate to chunk up an English string in exactly the same way as preparation for translation into oneor other of these languages. We test our chunking approachon two language pairs: French–English and German–English, where these two bilingual corpora share the same English sentences. Two chunkers trained on French–English(FE-Chunker) and German–English(DE-Chunker ) respectively are used to perform chunking on the same English sentences. We construct two test sets, each suitable for French–English and German–English respectively. The performance of the two chunkers is evaluated on the appropriate test set and with one reference translation only, we report Fscoresof 32.63% for the FE-Chunker and 40.41% for the DE-Chunker." @default.
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- W72275503 date "2007-01-01" @default.
- W72275503 modified "2023-09-23" @default.
- W72275503 title "Alignment-guided chunking" @default.
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