神戸大学附属図書館デジタルアーカイブ
入力補助
English
カテゴリ
学内刊行物
ランキング
アクセスランキング
ダウンロードランキング
https://doi.org/10.24546/81006698
このアイテムのアクセス数:
20
件
(
2024-04-25
13:46 集計
)
閲覧可能ファイル
ファイル
フォーマット
サイズ
閲覧回数
説明
81006698 (fulltext)
pdf
8.19 MB
10
メタデータ
ファイル出力
メタデータID
81006698
アクセス権
open access
出版タイプ
Version of Record
タイトル
A Machine Learning Approach to the Effects of Writing Task Prompts
著者
著者名
Kobayashi, Yuichiro
著者名
Abe, Mariko
収録物名
Learner Corpus Studies in Asia and the World
巻(号)
2
ページ
163-175
出版者
神戸大学国際コミュニケーションセンター
刊行日
2014-05-31
公開日
2014-06-25
抄録(自由利用可)
In analyzing learner language use, it is important to understand the influence of prompts given for writing tasks. The study reported upon in the present paper aimed to investigate the effects of essay prompts on language use in essays written by English as a foreign language students, using a machine learning approach. The study compared the essays of East-Asian learners of English in terms of various linguistic features (e.g., parts-of-speech, grammar, and discourse features) proposed by Biber (1988), The essays were drawn from the International Corpus Network of Asian Learners of English (Ishikawa, 2011), which is considered to be the largest East Asian database of written compositions. The database contains essays written in response to two prompts, namely (a) It is important for college students to have a part time job, and (b) Smoking should be completely banned at all the restaurants in the country. The results of the present study indicate that the language used in the prompts significantly influenced the learners' language production. The findings suggest that it is crucial to consider essay prompts in terms of parts-of-speech, grammar, and discourse features, and to investigate the influence of such essay prompts on written compositions when conducting learner corpus studies.
カテゴリ
Learner Corpus Studies in Asia and the World
>
2号(2014-05-31)
紀要論文
詳細を表示
資源タイプ
departmental bulletin paper
言語
English (英語)
ISSN
2187-6746
OPACで所蔵を検索
CiNiiで学外所蔵を検索
関連情報
URI
http://www.solac.kobe-u.ac.jp/
ホームへ戻る