Title
Maximum Likelihood-based Automatic Lexicon Generation for AI Assistant-based Interaction with Mobile Devices.
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.
Year
DOI
Venue
2017
10.3837/tiis.2017.09.005
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
Maximum likelihood,automatic lexicon generation,intelligent personal assistant ( IPA),out-of-lexicon (OOL),speech recognition
Computer science,Maximum likelihood,Speech recognition,Mobile device,Lexicon
Journal
Volume
Issue
ISSN
11
9
1976-7277
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Donghyun Lee114623.43
Jae-Hyun Park200.34
Kwang-Ho Kim300.34
Jeong-sik Park48514.29
Jihwan Kim519735.10
Gil-Jin Jang621927.56
Unsang Park781536.32