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<font face="隶书" color="#800080" size="5"><b>Introduction to ICTCLAS</b></font></p>
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<p class="MsoNormal" style="text-indent: 21.0pt; mso-char-indent-count: 2.0; mso-char-indent-size: 10.5pt; margin-top: 0; margin-bottom: 0"><span lang="EN-US">Word
is the minimum meaningful unit of languages. It’s well known that
there are no separators between words in Chinese text. Therefore,
Chinese lexical analysis is a prerequisite to Chinese information
processing. Based on years of research, we have developed a Chinese
lexical analysis system ICTCLAS (Institute of Computing Technology,
Chinese Lexical Analysis System) using an approach based on multi-layer
HMM. ICTCLAS includes word segmentation, Part-Of-Speech tagging and
unknown words recognition. Its segmentation precision is 97.58%(result
from recent official evaluation in national 973 project). The recalling
rates of unknown words recognized using roles tagging achieve more than
90%. Especially, the recalling of Chinese person names achieve nearly
98%. The speed for word segmentation and POS tagging is 31.5KB/s.</span></p>
<p class="MsoNormal" style="margin-top: 0; margin-bottom: 0"><span lang="EN-US"><span style="mso-spacerun: yes">
</span>All the source codes, papers or
documents of ICTCLAS are available freely from URLs <a href="http://www.nlp.org.cn/project/project.php?proj_id=6">http://www.nlp.org.cn/project/project.php?proj_id=6</a>
or <a href="http://www.ict.ac.cn/freeware/003_ictclas.asp">http://www.ict.ac.cn/freeware/003_ictclas.asp</a>.
ICTCLAS and other 14 free systems from Institute of Computing Technology
were broadly reported in China and abroad as well. Until Sep., ICTCLAS
had been downloaded by over 2,000 researchers or commercial
organizations from China, Japan, Singapore, Korea, USA and other
countries or areas. We are honored to distribute ICTCLAS free of fees
and help users solve problems from Chinese lexical analysis.</span></p>
<p class="MsoNormal" style="text-indent: 10.5pt; mso-char-indent-count: 1.0; mso-char-indent-size: 10.5pt; margin-top: 0; margin-bottom: 0"><span lang="EN-US"><span style="mso-spacerun:
yes"> </span>In
addition, we provide ICTCLAS.dll for developers invoking in their own
systems. Any question, comments or advice about ICTCLAS are welcomed. <o:p>
<font color="#800000">
</o:p>
</font></span></p>
<p class="MsoNormal" style="text-indent: 21.0pt; line-height: 8.0pt; mso-line-height-rule: exactly; margin-top: 0; margin-bottom: 0"><span lang="EN-US"><font color="#800000"> <o:p>
</o:p>
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<p style="margin-top: 0; margin-bottom: 0"><font face="幼圆"><font color="#800080"><b>Author:
</b></font> Kevin
Zhang (张华平);
Qun Liu(刘群)</font></p>
<p style="margin-top: 0; margin-bottom: 0"><font face="幼圆">Inst.
of Computing Tech., Chinese Academy of Sciences</font></p>
<p style="margin-top: 0; margin-bottom: 0"><font face="幼圆"><font color="#800080"><b>Email:</b></font>
zhanghp@software.ict.ac.cn<o:p>
</o:p>
</font></p>
<p style="margin-top: 0; margin-bottom: 0"><font face="幼圆"><font color="#800080"><b>Tel:
</b></font>
+86-10-88455001/5/7 to 714</font><!--mstheme--></font></td>
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<p><center>[<a href="mailto:%20zhanghp@software.ict.ac.cn">跟我们联系</a>|<a href="http://www.nlp.org.cn/project/project.php?proj_id=6">参与开放项目</a>|<a href="http://mtgroup.ict.ac.cn">返回主页</a>]</center></p>
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