TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Maximum Likelihood-based Automatic Lexicon Generation for AI Assistant-based Interaction with Mobile Devices |
| 영문제목(English Title) |
Maximum Likelihood-based Automatic Lexicon Generation for AI Assistant-based Interaction with Mobile Devices |
| 저자(Author) |
Donghyun Lee
Jae-Hyun Park
Kwang-Ho Kim
Jeong-Sik Park
Ji-Hwan Kim
Gil-Jin Jang
Unsang Park
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| 원문수록처(Citation) |
VOL 11 NO. 09 PP. 4264 ~ 4279 (2017. 09) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper, maximum likelihood-based automatic lexicon generation using mixed-syllables is proposed for unlimited vocabulary voice interface for East Asian languages (e.g. Korean, Chinese and Japanese) in AI-assistant based interaction with mobile devices. The conventional lexicon has two inevitable problems: 1) a tedious repetition of out-of-lexicon unit additions to the lexicon, and 2) the propagation of errors during a morpheme analysis and space segmentation. The proposed method provides an automatic framework to solve the above problems. The proposed method produces a level of overall accuracy similar to one of previous methods in the presence of one out-of-lexicon word in a sentence, but the proposed method provides superior results with the absolute improvements of 1.62%, 5.58%, and 10.09% in terms of word accuracy when the number of out-of-lexicon words in a sentence was two, three and four, respectively.
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| 키워드(Keyword) |
Maximum likelihood
automatic lexicon generation
intelligent personal assistant (IPA)
out-of-lexicon (OOL)
speech recognition
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| 파일첨부 |
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