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Home > People > Hisami Suzuki
Hisami Suzuki

RESEARCHER
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Bio

Hisami Suzuki is a Researcher in the Natural Language Processing Group at MSR-Redmond. She joined the group in 1995, and has since worked on various NLP projects, including the development of a Japanese parser (NLPWin), input method for Japanese (IME), machine translation (MT), and more recently, knowledge acquisition from large data sources. Her main research interest is in learning and using linguistic knowledge for solving NLP problems, especially in Asian languages. She received a Ph.D in linguistics from the University of Chicago in 2002. 

Selected Projects and Downloads

Language modeling. Microsoft Research IME Corpus is now available! This corpus provides a test data set for the task of Japanese character conversion for text input. Download the corpus from Microsoft Research IME Corpus. For more abour the corpus, see our techreport.

MSR RefRef is a simple tool for viewing coreference annotation at the document level. It has a native support for MUC and Kyoto Corpus formats. The tools is available for download for research purposes with source code from here. See our LREC 2006 paper for a detailed description of the tool.

Japanese NLP. We have a large-scale Japanese parser, currently used in our machine translation system and in building MindNet. Visit our Japanese NLP project page for a more detailed description.

MindNet is an automatically built knowledge base on lexical semantic relations. Some MindNet samples are now available online in English and Japanese! Visit our Mindnet/mnex (MindNet Explorer) page for an online MindNet exploration.

Publications

    2009

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    2002

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