For instance, the first rule the system learns is to replace the letter "L" with the letter "R", because there is no "L" in Japanese. This method is very similar to the Transformation-Based Learner (TBL) invented by Eric Brill.Įssentially, given a list of English/Japanese name pairs, the system learns a series of substitution rules to apply to the English input in order to get the Japanese output. For other names, a learned substitution model trained on these names is applied instead. The Japanese Name Converter uses a combination of dictionary lookup, substitution rules, and machine learning to convert English characters into katakana.įor common English names, a dictionary lookup of about 4,000 English names is used.
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