Two Approaches to Aspect Assignment in an English-Polish Machine Translation System
نویسنده
چکیده
The paper presents two approaches to aspect assignment in a knowledgebased English-Polish machine translation (MT) system. The first method uses a set of heuristic rules based on interlingua (IR) representation provided by the system, whereas the other employs machine learning techniques. Both methods have similar performance and obtain high accuracy of over 88% on test data. The crucial difference, however, is the development effort: the machine learning technique is fully automatic, whereas heuristic rules are derived manually.
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