Feature visualizer and detector for scientific texts

• Project/Area Number: 19K00850
• 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: The University of Aizu
• Principal Investigator: BLAKE John 会津大学, コンピュータ理工学部, 准教授 (80635954)
• Co-Investigator(Kenkyū-buntansha): Mozgovoy Maxim 会津大学, コンピュータ理工学部, 准教授 (60571776)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Project Status: Granted (Fiscal Year 2019)
• Budget Amount: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000); Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
• Keywords: visualization / genre / language features / nlp / iCALL

Outline of Research at the Start

This research aims to develop and evaluate an interactive online multimedia tool that can visualize the typical language features in scientific texts written in English. There are two functionalities. (1) The feature visualizer shows and explains commonly-used language features present in a corpus of fully-annotated short research articles. (2) The feature detector identifies core language features in texts submitted by users. This helps students compare their own writing to expected conventions in scientific writing.