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

Abstract

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.