@inproceedings{kita-etal-1994-application,
title = "Application of Corpora in Second Language Learning: The Problem of Collocational Knowledge Acquisition",
author = "Kita, Kenji and
Omoto, Takashi and
Yano, Yoneo and
Kato, Yasuhiko",
booktitle = "Second Workshop on Very Large Corpora",
year = "1994",
url = "https://aclanthology.org/1994.vlc-1.4",
pages = "43--56",
abstract = "While corpus-based studies are now becoming a new methodology in natural language processing, second language learning offers one interesting potential application. In this paper, we are primarily concerned with the acquisition of collocational knowledge from corpora for use in language learning. First we discuss the importance of collocational knowledge in second language learning, and then take up two measures, mutual information and cost criteria, for automatically identifying or extracting collocations from corpora. Comparitive experiments are made between the two measures using both Japanese and English corpora. In our experiments, the cost criteria measure proved more effective in extracting interesting collocations such as fundamental idiomatic expressions and phrases.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kita-etal-1994-application">
<titleInfo>
<title>Application of Corpora in Second Language Learning: The Problem of Collocational Knowledge Acquisition</title>
</titleInfo>
<name type="personal">
<namePart type="given">Kenji</namePart>
<namePart type="family">Kita</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Takashi</namePart>
<namePart type="family">Omoto</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yoneo</namePart>
<namePart type="family">Yano</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yasuhiko</namePart>
<namePart type="family">Kato</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>1994</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Second Workshop on Very Large Corpora</title>
</titleInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>While corpus-based studies are now becoming a new methodology in natural language processing, second language learning offers one interesting potential application. In this paper, we are primarily concerned with the acquisition of collocational knowledge from corpora for use in language learning. First we discuss the importance of collocational knowledge in second language learning, and then take up two measures, mutual information and cost criteria, for automatically identifying or extracting collocations from corpora. Comparitive experiments are made between the two measures using both Japanese and English corpora. In our experiments, the cost criteria measure proved more effective in extracting interesting collocations such as fundamental idiomatic expressions and phrases.</abstract>
<identifier type="citekey">kita-etal-1994-application</identifier>
<location>
<url>https://aclanthology.org/1994.vlc-1.4</url>
</location>
<part>
<date>1994</date>
<extent unit="page">
<start>43</start>
<end>56</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Application of Corpora in Second Language Learning: The Problem of Collocational Knowledge Acquisition
%A Kita, Kenji
%A Omoto, Takashi
%A Yano, Yoneo
%A Kato, Yasuhiko
%S Second Workshop on Very Large Corpora
%D 1994
%F kita-etal-1994-application
%X While corpus-based studies are now becoming a new methodology in natural language processing, second language learning offers one interesting potential application. In this paper, we are primarily concerned with the acquisition of collocational knowledge from corpora for use in language learning. First we discuss the importance of collocational knowledge in second language learning, and then take up two measures, mutual information and cost criteria, for automatically identifying or extracting collocations from corpora. Comparitive experiments are made between the two measures using both Japanese and English corpora. In our experiments, the cost criteria measure proved more effective in extracting interesting collocations such as fundamental idiomatic expressions and phrases.
%U https://aclanthology.org/1994.vlc-1.4
%P 43-56
Markdown (Informal)
[Application of Corpora in Second Language Learning: The Problem of Collocational Knowledge Acquisition](https://aclanthology.org/1994.vlc-1.4) (Kita et al., VLC 1994)
ACL