skip to main content skip to footer

Analyzing Item Generation with Natural Language Processing Tools for the TOEIC Listening Test TOEIC

Author(s):
Yoon, Su-Youn; Lee, Chong Min; Houghton, Patrick; Lopez, Melissa; Sakano, Jennifer; Loukina, Anastassia; Krovetz, Robert; Lu, Chi; Madnani, Nitin
Publication Year:
2017
Report Number:
RR-17-52
Source:
ETS Research Report
Document Type:
Report
Page Count:
11
Subject/Key Words:
Automated Item Generation, Automated Scoring and Natural Language Processing, Test of English for International Communication (TOEIC), Surveys, Word Similarity, Vocabulary Assessments, User Study, TOEIC Listening and Reading Tests

Abstract

In this study, we developed assistive tools and resources to support TOEIC Listening test item generation. There has recently been an increased need for a large pool of items for these tests. This need has, in turn, inspired efforts to increase the efficiency of item generation while maintaining the quality of the created items. We aimed to address this challenge by creating a set of automated tools and resources that support item generation: an automated system that retrieves appropriate real-world videos, a list of vocabulary tagged with established difficulty levels, and a tool that suggests words and phrases that are similar in distribution to a given word (word similarity tool). These tools and resources were designed to help item writers by providing initial ideas, authentic language, and support for adjusting the variety and complexity of vocabulary in their items. To evaluate the impact of these resources on the efficiency of item generation, seven item writers created listening items using our tools. All tools were considered useful, and the word similarity tool in particular was rated the most useful. The tools are currently applied to English item generation for the TOEIC Listening test, but the method is generic and applicable to other languages.

Read More