Paper: Redundancy Detection in ESL Writings

ACL ID E14-1072
Title Redundancy Detection in ESL Writings
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper investigates redundancy detec- tion in ESL writings. We propose a mea- sure that assigns high scores to words and phrases that are likely to be redundant within a given sentence. The measure is composed of two components: one cap- tures fluency with a language model; the other captures meaning preservation based on analyzing alignments between words and their translations. Experiments show that the proposed measure is five times more accurate than the random baseline.