Papers by Milen Kouylekov
OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora (L18-1)
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| Challenge: | Movie and TV subtitles are a valuable resource for the compilation of parallel corpora . however, the quality of the resulting sentence alignments is often lower than for other parallel corpoora. |
| Approach: | They propose to use movie and TV subtitles to extract parallel corpora from 3.7 million subtitles spread over 60 languages to obtain explicit quality scores for each sentence alignment. |
| Outcome: | The proposed model predicts translation probabilities with a root mean square error of 0.07 . the results show that the model can prune out low-quality alignments . |