2014 Fiscal Year Annual Research Report
大規模な注釈つきコーパス分析のための直感的コーパスツール開発
| Project/Area Number |
23501115
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| Research Institution | Waseda University |
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Principal Investigator |
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Keywords | AntConc / corpus / concordance / educational technology / vocabulary / コーパス / 教育工学 / コンコーダンス |
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| Outline of Annual 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. In addition, various spin off text processing tools have emerged from this project and all have been made publicly available for free download.
The success of the project has been reflected in the substantial growth in popularity of AntConc throughout the world among researchers, teachers, and learners. In a recent international survey of corpus linguistics, AntConc was rated as the most popular corpus tool used for research. AntConc is now used as a core tool in almost all international university corpus linguistics programs, and it featured in the first MOOC on corpus linguistics run by Lancaster University. AntConc has also been served as the research tool in numerous international research papers, books, and presentations by well-known scholars and teachers in the field.
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