We are accumulating electronic files of English composition by university freshmen. For the past ten years or so, about 50 to 90 students enrolled in three English classes taught by the last author are submitting 15 essays per year, each in three different versions. The first is what the students come up with in half hour or so in class after engaging what we call "oral response practice," in which a group of three students in turn read a question card aloud, respond to the question and video record the interaction. Sets of 10 question cards around one topic are prepared by the teacher and distributed to the groups with a video camera. After class, students will spend some time to "complete" their compositions and submit them during the next class and review other students' essays within groups of six. The students are asked to revise the essays and submit the final version during the following class. In addition to the students' peer review comments, it would be desirable if the students can get feedback by statistical analysis of parsing and other processing of their own essays but the files submitted has to go through some pre-processing for the parser and analyzers to work properly. In this presentation, we report on your preliminary study and experimentation.
山田寛章, 石井雄隆, 原田康也. 日本人大学生の英語作文からの特徴量の自動抽出に向けて : 予備実験と今後の課題 (思考と言語). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114(100). pages 55-60, Jun 2014. ISSN 0913-5685.