Extrinsic evaluation of sentence alignment systems
Sadaf Abdul Rauf, Mark Fishel, Patrik Lambert, Sandra Noubours, Rico Sennrich · Zurich Open Repository and Archive (University of Zurich) · 2012
Parallel corpora are usually a collection of documents which are translations of each other. To be useful in NLP applications such as word alignment or machine translation, they first have to be aligned at the sentence level. This paper is a user study briefly reviewing several sentence aligners and evaluating them based on the performance achieved by the SMT systems trained on their output. We conducted experiments on two language pairs and showed that using a more advanced sentence alignment algorithm may yield gains of 0.5 to 1 BLEU points.