论文信息 - Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners

Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners

We propose discriminative methods to generate semantic distractors of fill-in-theblank quiz for language learners using a large-scale language learners’ corpus. Unlike previous studies, the proposed methods aim at satisfying both reliability and validity of generated distractors; distractors should be exclusive against answers to avoid multiple answers in one quiz, and distractors should discriminate learners’ proficiency. Detailed user evaluation with 3 native and 23 non-native speakers of English shows that our methods achieve better reliability and validity than previous methods.

[1] Michael Rube Redfield,et al. Language Test Construction and Evaluation , 1997 .

[2] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[3] Hwee Tou Ng,et al. Correcting Semantic Collocation Errors with L1-induced Paraphrases , 2011, EMNLP.

[4] Eiichiro Sumita,et al. Measuring Non-native Speakers’ Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions , 2005 .

[5] Le An Ha,et al. A computer-aided environment for generating multiple-choice test items , 2006, Natural Language Engineering.

[6] Claudia Leacock,et al. Automated Grammatical Error Correction for Language Learners , 2010, COLING.

[7] Hiroshi Nakagawa,et al. A Real-Time Multiple-Choice Question Generation For Language Testing: A Preliminary Study , 2005 .

[8] Mauro Cettolo,et al. WIT3: Web Inventory of Transcribed and Translated Talks , 2012, EAMT.

[9] Chao-Lin Liu,et al. Applications of Lexical Information for Algorithmically Composing Multiple-Choice Cloze Items , 2005 .