Bilingual sentence alignment method based on sentence length and location information

This paper describes a new method for aligning real bilingual texts using sentence pairs' length and location information. The model was motivated by the observation that the location of a sentence pair with certain length is distributed in the whole text similarly. It uses (1 : 1) sentence beads instead of high frequency words as the candidate anchors to make the method general. The method was developed and evaluated through many different test data. The results show that it can achieve good aligned performance and be robust and language independent. It can resolve the alignment problem on real bilingual text.