This paper presents a method for the phonetically based extraction of Japanese synonyms from item titles of Rakuten Ichiba. In general, synonyms are words with the same or similar meaning in a semantic sense; however, we focus here on those synonyms which appear as transliterations between English and Japanese, using Katakana, Hiragana, Kanji and a mixture of these scripts. The method consists of three parts: generation of the candidate word pairs using phrase detection (collocation) at the preprocessing stage; mapping similar sounds using Soundex and a cross-language sound group; measuring the similarity based on the Levenshtein and stochastic distances; and ranking the synonym pairs using fuzzy matching in the post-processing stage. We carry out two experiments based on two different sound mapping datasets, each of which measures the similarity scores from two different algorithms. The results from the baseline and cross-language models achieve precision values of 0.9208 and 0.9983, respectively. Our method is applicable to various fields of linguistic research, for example building a thesaurus/new name entity lookup for a search engine, machine translation and natural language generation, and improving output of voice recognition systems.
@InProceedings{HTUN18.4, author = {Ohnmar Htun ,Koji Murakami and Yu Hirate}, title = {Phonetically Based Extraction of Japanese Synonyms from Rakuten Ichiba’s Item Titles}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Jinhua Du and Mihael Arcan and Qun Liu and Hitoshi Isahara}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-15-3}, language = {english} }
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