@article{oai:nagoya.repo.nii.ac.jp:00013188, author = {Ito, Masashi and Ohno, Tomohiro and Matsubara, Shigeki}, issue = {4}, journal = {Journal of Advanced Computational Intelligence and Intelligent Informatics}, month = {Mar}, note = {It is very significant to the knowledge society to accumulate spoken documents on the web. However, because of the high redundancy of spontaneous speech, the faithfully transcribed text is not readable on an Internet browser, and therefore not suitable as a web document. This paper proposes a technique for converting spoken documents into web documents for the purpose of building a speech archiving system. The technique edits automatically transcribed texts and improves their readability on the browser. The readable text can be generated by applying technology such as paraphrasing, segmentation, and structuring transcribed texts. Editing experiments using lecture data demonstrated the feasibility of the technique. A prototype system of spoken document archiving was implemented to confirm its effectiveness.}, pages = {499--505}, title = {Text-Style Conversion of Speech Transcript into Web Document for Lecture Archive}, volume = {13}, year = {2009} }