Redundancy Detection in ESL Writings
Huichao Xue, Rebecca Hwa · 2014
This paper investigates redundancy detection in ESL writings. We propose a measure 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 captures 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.