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2014 Fiscal Year Final Research Report

Development of an Intuitive Corpus Tool for Analysis of Large-Scale, Fully-Annotated Corpora

Research Project

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Project/Area Number 23501115
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Educational technology
Research InstitutionWaseda University

Principal Investigator

ANTHONY Laurence  早稲田大学, 理工学術院, 教授 (10258204)

Project Period (FY) 2011-04-28 – 2015-03-31
KeywordsAntConc / コーパス / コンコーダンス / 教育工学 / 語彙 / corpus / concordance / educational technology
Outline of Final Research Achievements

The aim of this project was to redesign and add new functionality to the AntConc corpus toolkit so that it could respond to the increasing demands of corpus linguists for sophisticated tools that can handle very large, fully-annotated corpora in an easy and intuitive way. To this aim, all three core goals of the project were completed: 1) AntConc has been completely re-written in the Python programming language making it significantly easier to add new functionality and a much improved user experience; 2) AntConc has been redesigned with a novel backend database to allow it to process massive annotated corpora of over 1 billion words on a standard laptop computer; 3) New modules have been created to allow users to easily process texts at the sentence and/or discourse level.

Free Research Field

教育工学

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Published: 2016-06-03   Modified: 2021-04-07  

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