NDLI: Domain corpus independent vocabulary generation for embedded continuous speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Minkyu Lim Kwang-Ho Kim Ji-Hwan Kim
Copyright Year	1975
Abstract	This paper proposes a domain corpus independent vocabulary generation algorithm in order to improve the coverage of vocabulary for embedded continuous speech recognition (CSR). A vocabulary in CSR is normally derived from a word frequency list. Therefore, the vocabulary coverage is dependent on a domain corpus. We present an improved way of vocabulary generation using part-of-speech (POS) tagged corpus and knowledge base. We investigate 152 POS tags defined in a POS tagged corpus and word-POS tag pairs. We analyze all words paired with 101 among 152 POS tags and decide on a set of words which have to be included in vocabularies of any size. The other 51 POS tags are mainly categorized with noun-related, named entity (NE)-related and verb-related POSs. We introduce a domain corpus independent word inclusion method for noun-, verb-, and NE-related POS tags using knowledge base. For noun-related POS tags, we generate synonym groups and analyze their relative importance using Google search. Then, we categorize verbs by lemma and analyze relative importance of each lemma from a pre-analyzed statistic for verbs. We determine the inclusion order of NEs through Google search. The proposed method shows at least 28.6% relative improvement of coverage for a SMS text corpus when the sizes of vocabulary are 5 K, 10 K, 15 K and 20 K. In particular, the coverage of 15 K size vocabulary generated by the proposed method reaches up to 97.8% with the relative improvement of 44.2%.
Sponsorship	IEEE Consumer Electronics Society
File Size	417105
File Format	PDF
ISSN	00983063
Volume Number	55
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Speech recognition Natural languages Space exploration Space technology Frequency Statistical analysis Context modeling Dictionaries Computer science Embedded speech recognition Domain corpus independent Coverage
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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