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<?xml version="1.0" standalone="yes"?> <Paper uid="I05-3002"> <Title>Using Word-Pair Identifier to Improve Chinese Input System</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> This paper presents a word-pair (WP) identifier that can be used to resolve homonym/segmentation ambiguities and perform syllable-to-word (STW) conversion effectively for improving Chinese input systems. The experiment results show the following: (1) the WP identifier is able to achieve tonal (syllables with four tones) and toneless (syllables without four tones) STW accuracies of 98.5% and 90.7%, respectively, among the identified word-pairs; (2) while applying the WP identifier, together with the Microsoft input method editor 2003 and an optimized bigram model, the tonal and toneless STW improvements of the two input systems are 27.5%/18.9% and 22.1%/18.8%, respectively.</Paragraph> </Section> class="xml-element"></Paper>