Incorporation of a Natural Language Processing CUI Application into a General-Purpose GUI Corpus Tool

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K00742
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 02100:Foreign language education-related
• Research Institution: Osaka University
• Principal Investigator: Yasuhiro Imao 大阪大学, 大学院人文学研究科(言語文化学専攻), 准教授 (50609378)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: コーパスツール開発 / 自然言語処理 / GUIアプリケーション

Outline of Final Research Achievements

The goal of this research was to make CUI natural language processing application programs accessible from the GUI corpus analysis application CasualConc. This would bring the products of natural language processing research to language studies. The dependency grammar tagging function of Stanford CoreNLP and the topic modeling analysis function of MALLET were incorporated into CasualConc. Additionally, to promote its use, workshops were given and online tutorials were created.

Free Research Field

ツール開発

Academic Significance and Societal Importance of the Research Achievements

本研究の成果であるCasualConcと自然言語処理アプリケーションの連携は、コマンドラインでの入力やスクリプト言語での処理など、CUIアプリケーションの利用促進を妨げる要素を取り除き、処理の設定や結果の扱いを容易にすることで、技術的に不利な立場にある研究者が結果の解釈に注力できる環境を整えて、これらを利用した言語分析の更なる応用への道を開き、言語研究自体の発展に寄与することができるであろうと考える。