Paper: Generating Code-switched Text for Lexical Learning

ACL ID P14-1053
Title Generating Code-switched Text for Lexical Learning
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

A vast majority of L1 vocabulary acqui- sition occurs through incidental learning during reading (Nation, 2001; Schmitt et al., 2001). We propose a probabilistic ap- proach to generating code-mixed text as an L2 technique for increasing retention in adult lexical learning through reading. Our model that takes as input a bilingual dictionary and an English text, and gener- ates a code-switched text that optimizes a defined ?learnability? metric by construct- ing a factor graph over lexical mentions. Using an artificial language vocabulary, we evaluate a set of algorithms for gener- ating code-switched text automatically by presenting it to Mechanical Turk subjects and measuring recall in a sentence com- pletion task.