图 书 馆
NERITS - 使用Wikimeta和链接开放数据的机器翻译混搭系统NERITS - A Machine Translation Mashup System Using Wikimeta and Linked Open Data |
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| 课程网址: | http://videolectures.net/eswc2013_nebhi_nertis/ |
| 主讲教师: | Kamel Nebhi |
| 开课单位: | 日内瓦大学 |
| 开课时间: | 2013-07-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Recently, Machine Translation (MT) has become a quite popular technology in everyday use through Web services such as Google Translate. Although the di erent MT approaches provide good results, none of them exploit contextual information like named entity to help user comprehension. In this paper, we present NERITS, a machine translation mashup system using semantic annotation from Wikimeta. The goal of the application is to propose a cross-lingual translation by providing detailed informa- tion extracted from DBpedia about persons, locations and organizations in the mother tongue of the user. This helps at scaling the traditional multilingual task of machine translation to cross-lingual applications. |
| 关 键 词: | 机器翻译; Web服务; 语义标注 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-12-22：liyy |
| 阅读次数: | 38 |