新闻网站的互动第二语言学习

Tao Chen, Naijia Zheng, Yue Zhao, Muthu Kumar Chandrasekaran, Min-Yen Kan
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引用次数: 5

摘要

我们推荐WordNews,这是一个网络浏览器扩展,可以让读者在在线阅读新闻的同时学习第二语言词汇。注入的工具提示允许读者查找选定的词汇并进行简单的交互式测试。我们发现两个关键的系统组件需要改进,这两个组件都源于对环境建模的需要。这两个问题是现实世界的词义消歧(WSD),以帮助翻译质量和构建交互式测试。首先,我们从微软的必应翻译API开始,但使用了额外的基于字典的启发式方法,显著提高了翻译的覆盖率和准确性。其次,我们提出了为多项选择单词掌握测试产生适当干扰的技术。我们的初步用户调查证实了这样一个语言学习平台的必要性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive Second Language Learning from News Websites
We propose WordNews, a web browser extension that allows readers to learn a second language vocabulary while reading news online. Injected tooltips allow readers to look up selected vocabulary and take simple interactive tests. We discover that two key system components needed improvement, both which stem from the need to model context. These two issues are real-world word sense disambiguation (WSD) to aid translation quality and constructing interactive tests. For the first, we start with Microsoft’s Bing translation API but employ additional dictionary-based heuristics that significantly improve translation in both coverage and accuracy. For the second, we propose techniques for generating appropriate distractors for multiple-choice word mastery tests. Our preliminary user survey confirms the need and viability of such a language learning platform.
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