An Arabic to English Example-based Translation System
نویسندگان
چکیده
An implementation of a non-structural ExampleBased Machine Translation system that translates short sentences from Arabic to English, using a large parallel corpus aligned at the paragraph level, is described. Each new input sentence is matched to example patterns by using various levels of morphological data. We encountered several problems in the matching and the transfer steps, some of which were solved, partially or totally, sometimes by using linguistic tools for both languages. We discuss those problems and our proposed solutions. The system has been implemented and automatically evaluated. Results are encouraging.
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