Dictionaries and Encoding Examples to Support Language Production
Dictionaries and Encoding Examples to Support Language Production
复制标题
支持语言生成的词典和编码示例
DOI：
10.1093/ijl/ecv013
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发表时间：
2015
影响因子：
0.5
通讯作者：
A. Frankenberg
中科院分区：
文献类型：
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作者：
A. Frankenberg
学习词典不仅可以帮助用户了解含义，还可以帮助用户了解搭配、语法和常见错误。尽管可以通过多种方式呈现语言生成信息，但先前的研究表明，学习者往往更喜欢从示例中获取信息。然而，早期对词典示例影响的研究并没有揭示太多其价值的证据。这可能是因为词典没有区分加强理解的示例和支持生产的示例，也因为学习者可能需要多个示例来弄清楚单词是如何使用的。根据 Frankenberg-Garcia (2012, 2014) 最近的发现，编码示例似乎有助于语言生成，本研究旨在通过改进以前的启发程序、使用不同的和更大的人口样本以及测试学习者是否对最佳数量的示例做出更好的反应来进一步研究此类示例的效果。
Learners’ dictionaries can help users not just with meanings, but also with collocations, syntax and common errors. Although there are several ways in which information for language production can be presented, previous research has shown that learners tend to prefer to obtain it from examples. However, early studies on the effects of dictionary examples did not disclose much evidence of their value. This could be because dictionaries do not distinguish between examples to reinforce comprehension and examples to support production, and also because learners may need more than one example to figure out how words are used. Following recent findings by Frankenberg-Garcia (2012, 2014), where encoding examples appeared to help language production, the present study aimed to further investigate the effects of such examples by refining previous elicitation procedures, by using a different and larger population sample, and by testing whether learners react better to an optimum number of examples.