<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="sakao-etal-2005-japanese">
    <titleInfo>
        <title>Japanese Language Analaysis for Syntactic Tree Mining to Extract Characteristic Contents</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Yohsuke</namePart>
        <namePart type="family">Sakao</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Takahiro</namePart>
        <namePart type="family">Ikeda</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kenji</namePart>
        <namePart type="family">Satoh</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Susumu</namePart>
        <namePart type="family">Akamine</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2005-sep 13-15</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of Machine Translation Summit X: Posters</title>
        </titleInfo>
        <originInfo>
            <place>
                <placeTerm type="text">Phuket, Thailand</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Existing syntactic ordered tree mining methods for extracting characteristic contents from text sets have two problems: 1) subtrees which are semantically the same but are different ordered trees fail to be considered equivalent, and 2) raw extracted subtrees can be difficult to understand. In order to avoid these problems, we have developed a method of transforming all ordered trees so that the ordered trees having the same meaning are considered equivalent. We have also developed a method of constructing Japanese texts from extracted subtrees, and evaluated the effectiveness of our methods as applied to syntactic tree mining.</abstract>
    <identifier type="citekey">sakao-etal-2005-japanese</identifier>
    <location>
        <url>https://aclanthology.org/2005.mtsummit-posters.3</url>
    </location>
    <part>
        <date>2005-sep 13-15</date>
        <extent unit="page">
            <start>339</start>
            <end>345</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Japanese Language Analaysis for Syntactic Tree Mining to Extract Characteristic Contents
%A Sakao, Yohsuke
%A Ikeda, Takahiro
%A Satoh, Kenji
%A Akamine, Susumu
%S Proceedings of Machine Translation Summit X: Posters
%D 2005
%8 sep 13 15
%C Phuket, Thailand
%F sakao-etal-2005-japanese
%X Existing syntactic ordered tree mining methods for extracting characteristic contents from text sets have two problems: 1) subtrees which are semantically the same but are different ordered trees fail to be considered equivalent, and 2) raw extracted subtrees can be difficult to understand. In order to avoid these problems, we have developed a method of transforming all ordered trees so that the ordered trees having the same meaning are considered equivalent. We have also developed a method of constructing Japanese texts from extracted subtrees, and evaluated the effectiveness of our methods as applied to syntactic tree mining.
%U https://aclanthology.org/2005.mtsummit-posters.3
%P 339-345

Markdown (Informal)

[Japanese Language Analaysis for Syntactic Tree Mining to Extract Characteristic Contents](https://aclanthology.org/2005.mtsummit-posters.3) (Sakao et al., MTSummit 2005)

• Japanese Language Analaysis for Syntactic Tree Mining to Extract Characteristic Contents (Sakao et al., MTSummit 2005)

ACL

• Yohsuke Sakao, Takahiro Ikeda, Kenji Satoh, and Susumu Akamine. 2005. Japanese Language Analaysis for Syntactic Tree Mining to Extract Characteristic Contents. In Proceedings of Machine Translation Summit X: Posters, pages 339–345, Phuket, Thailand.