DocumentCode
3222369
Title
Dictionary supported generation of English text from Pitman Shorthand scripted phonetic text
Author
Nagabhushan, P. ; Anami, Basavaraj S. ; Guru, D.S.
Author_Institution
Dept. of Studies in Comput. Sci., Mysore Univ., India
fYear
2002
fDate
13-15 Dec. 2002
Firstpage
33
Lastpage
42
Abstract
The Pitman Shorthand Language (PSL) is a recording medium practised in all organizations, where English is the medium of transaction. It has the practical advantage of high speed of recording, more than 180 words per minute, because of which it is appreciably received. This recording medium continues to exist in spite of considerable developments in speech processing systems, which are not yet universally established. In order to exploit the vast transcribing potential of PSL a new area of research into automation of PSL processing is conceived. This paper describes the substitution of equivalent English words for the phonetic compositions of transcribed words, in the process of automatic generation of English text from a PSL document. Transcription is achieved by making use of two new types of dictionaries specifically developed and implemented for this purpose, one of them being a phonetic dictionary wherein the words are sequenced in phonetic order and the other being an extended conventional dictionary wherein the words are appended with additional details such as use domain, forms of verbs, etc. The proposed approach is tested with limited words in both dictionaries and is found to perform satisfactorily. However, the scope exists for addition of new words into these dictionaries.
Keywords
dictionaries; document image processing; optical character recognition; Pitman Shorthand Language; Pitman Shorthand scripted phonetic text; automation; dictionary supported English text generation; phonetic compositions; phonetic dictionary; recording; transcribed words; Application software; Automation; Computer science; Dictionaries; Natural languages; Performance evaluation; Shape; Speech processing; Speech recognition; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Language Engineering Conference, 2002. Proceedings
Print_ISBN
0-7695-1885-0
Type
conf
DOI
10.1109/LEC.2002.1182289
Filename
1182289
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