Automatic Transliteration and Back-transliteration by Decision Tree Learning
Byung-Ju Kang, Key‐Sun Choi · 2000
Automatic transliteration and back-transliteration across languages with drastically different alphabets and phonemes inventories such as English/Korean, English/Japanese, English/Arabic, English/Chinese, etc, have practical importance in machine translation, crosslingual information retrieval, and automatic bilingual dictionary compilation, etc.In this paper, a bi-directional and to some extent language independent methodology for English/Korean transliteration and back-transliteration is described.Our method is composed of character alignment and decision tree learning.We induce transliteration rules for each English alphabet and back-transliteration rules for each Korean alphabet.For the training of decision trees we need a large labeled examples of transliteration and backtransliteration.However this kind of resources are generally not available.Our character alignment algorithm is capable of highly accurately aligning English word and Korean transliteration in a desired way.