| Item type |
SIG Technical Reports(1) |
| 公開日 |
2018-06-08 |
| タイトル |
|
|
タイトル |
Word meaning disambiguation in an online language learning environment |
| タイトル |
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言語 |
en |
|
タイトル |
Word meaning disambiguation in an online language learning environment |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
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|
Kyoto University |
| 著者所属 |
|
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|
Kyoto University |
| 著者所属 |
|
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|
Kyoto University |
| 著者所属(英) |
|
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|
en |
|
|
Kyoto University |
| 著者所属(英) |
|
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|
en |
|
|
Kyoto University |
| 著者所属(英) |
|
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|
en |
|
|
Kyoto University |
| 著者名 |
Victoria, Abou Khalil
Brendan, Flanagan
Hiroaki, Ogata
|
| 著者名(英) |
Victoria, Abou Khalil
Brendan, Flanagan
Hiroaki, Ogata
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Polysemous words are words that sound similar and look similar but have different meanings in different contexts. In order to be able to provide the language learners with the right translation in the right context, it is important to understand the intended meaning by the student when they look up a word. Mobile learning does not allow language students to share their intended meaning while looking up a polysemous word. This paper aims to identify the intended meaning by the student based on students' past learned words and current location. The method proposed uses records from the SCROLL system (System for Capturing and Reminding Of Learning Log) to identify the intended meaning by computing the sematic similarity between the vocabulary uploaded by the student, the location and each of the different meanings of the word. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Polysemous words are words that sound similar and look similar but have different meanings in different contexts. In order to be able to provide the language learners with the right translation in the right context, it is important to understand the intended meaning by the student when they look up a word. Mobile learning does not allow language students to share their intended meaning while looking up a polysemous word. This paper aims to identify the intended meaning by the student based on students' past learned words and current location. The method proposed uses records from the SCROLL system (System for Capturing and Reminding Of Learning Log) to identify the intended meaning by computing the sematic similarity between the vocabulary uploaded by the student, the location and each of the different meanings of the word. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA12496725 |
| 書誌情報 |
研究報告教育学習支援情報システム（CLE）
巻 2018-CLE-25,
号 5,
p. 1-4,
発行日 2018-06-08
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8620 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-CLE18025005.pdf (990.2 kB)
