Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Junichi Kakegawa"'
Autor:
Eiko, Kawakami, Junichi, Kakegawa, Hisashi, Ogawa, Katsumi, Sugihara, Koichiro, Morihiro, Faculty of Rehabilitation, Shijonawate Gakuen University, Hyogo University of Teacher Education
Publikováno v:
四條畷学園大学リハビリテーション学部紀要 = Annual reports of Faculty of Rehabilitation, Shijonawate Gakuen University. 14:1-11
作業療法士が行う検査は,検査手順に沿って実施できるだけではなく,その検査の目的や方法を患者に分かりやすく伝え、正確な検査結果を導くことに加え,患者に安心感を与えながら
Publikováno v:
IEICE Transactions on Information and Systems. :335-340
This paper proposes a topic-independent method for automatically scoring essay content. Unlike conventional topic-dependent methods, it predicts the human-assigned score of a given essay without training essays written to the same topic as the target
Publikováno v:
Journal of Natural Language Processing. 17:51-65
自然言語処理や言語学においてコーパスは重要な役割を果たすが,従来のコーパスは大人の文章を集めたコーパスが中心であり,子供の文章を集めたコーパスは非常に少ない.その理由
Publikováno v:
IEICE Transactions on Information and Systems. :2458-2466
This paper describes a method for recognizing romanized Japanese words in learner English. They become noise and problematic in a variety of systems and tools for language learning and teaching including text analysis, spell checking, and grammatical
Publikováno v:
ICALT
This paper proposes a topic-independent method for automatically scoring essay content. Unlike conventional topic-dependent methods, it predicts the human score of a given essay without training essays written to the same topic as the target essay. T
Publikováno v:
Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications - EANL '08.
This paper describes a method for recognizing romanized Japanese words in learner English. They become noise and problematic in a variety of tasks including Part-Of-Speech tagging, spell checking, and error detection because they are mostly unknown w
Publikováno v:
ICALT
This paper describes an edu-mining technique for finding keywords to improve pupils' message- production skills. It automatically finds keywords from blog items pupils create. It then adaptively suggests some of the keywords to pupils when they creat