Handling Diphtong and Triphone Sysmbols: Useful in Automatic English Text Generation from Pitman Shorthand Language Document.

Conference Paper · January 2000with3 Reads
DOI: 10.1007/3-540-45331-8_24 · Source: DBLP
Conference: Artificial Intelligence: Methodology, Systems, and Applications, 9th International Conference, AIMSA 2000, Varna, Bulgaria, September 20-23, 2000, Proceedings


    The paper describes the recognition of diphthong and triphone signs useful in automatic generation of English text from Pitman
    Shorthand Language (PSL) document. The PSL is used to note down the dictated/spoken text and is widely practiced in all organizations
    where English is the transaction medium. This has a built- in practical advantage because of which it is universally acknowledged.
    This recording medium will continue to exist in spite of considerable developments in Speech Processing Systems, which are
    not universally established yet. Because of wide usage of PSL and the effort in its automation, PSL processing has emerged
    as a potential problem for research in the areas of Pattern Recognition, Image Processing, Artificial Intelligence and Document

    There are six long and six short vowels in PSL. These vowels are represented by signs /symbols that over ride a stroke symbol
    and require recognition for composing English text from phonetic text documented through PSL. The work pertaining to other
    constructs of PSL is already carried out at word level by the authors [7,8]. But during dictation, it is common that the vowels are joined to form one syllable, called Diphthong. The diphthong appended
    with a tick-mark is called Triphone and represents any vowel that immediately follows the diphthong in a stroke. The diphthongs
    are to be cognized and recognized to generate the correct English equivalent text. The present work comprises of the definition
    of diphthong primitives, creation of knowledge base and the development of an algorithm for their recognition. A suitable
    shape recognition algorithm is assumed available here. This work is new and this module serves as a prerequisite for the complete
    recognition of PSL document and generation of an equivalent and correct English text.