Using Verb Paraphrases for Arabic-to-English Example-Based Translation
نویسنده
چکیده
We have developed an experimental Arabic-to-English example-based machine translation (EBMT) system, which exploits a bilingual corpus to find examples that match fragments of the input source-language text--Modern Standard Arabic (MSA), in our case--and imitates its translations. Translation examples were extracted from a collection of parallel, sentencealigned, unvocalized Arabic-English documents, taken from several corpora published by the Linguistic Data Consortium. The system is non-structural: translation examples are stored as textual strings, with some additional inferred linguistic features.
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