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A Machine-Aided Approach To Generating Grammar Rules From Japanese Source Text For Use In Hybrid And Rule-Based Machine Translation Systems, Sean Michael Jones
A Machine-Aided Approach To Generating Grammar Rules From Japanese Source Text For Use In Hybrid And Rule-Based Machine Translation Systems, Sean Michael Jones
Theses and Dissertations
Many automatic machine translation systems available today use a hybrid of pure statistical translation and rule-based grammatical translations. This is largely due to the shortcomings of each individual approach, requiring a large amount of time for linguistics experts to hand-code grammar rules for a rule-based system and requiring large amounts of source text to generate accurate statistical models. By automating a portion of the rule generation process, the creation of grammar rules could be made to be faster, more efficient and less costly. By doing statistical analysis on a bilingual corpus, common grammar rules can be inferred and exported to …