基于语言模型的大学英语四级选择题解法初探

2013 International Conference on Asian Language Processing Pub Date : 2013-08-17 DOI:10.1109/IALP.2013.35

Zhihang Fan, Muyun Yang, T. Zhao, Sheng Li

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摘要

本文提出了一种基于语言模型的大学英语四级选择题解题方法。在网络规模的英语语言数据上进行训练，在动态规划下检查不同的n-grams，以寻找最佳答案。实验结果表明，4克和5克模型对16个测试项目的平均准确率均达到81%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Tentative Study on Language Model Based Solution to Multiple Choice of CET-4

The paper presents a language model based solution to the test item of Multiple Choice of CET-4. Trained on the web scale English language data, different n-grams are examined under a dynamic programming searching for the best answers. Experimental results indicate that both 4-gram and 5-gram model could generate an average of 81% precision for 16 test items.

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2013 International Conference on Asian Language Processing

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