Better statistical estimation can benefit all phrases in phrase-based statistical machine translation
| Authors | |
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| Publication date | 2008 |
| Book title | SLT 2008: 2008 IEEE Workshop on Spoken Language Technology: Proceedings |
| ISBN |
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| Event | 2008 IEEE Workshop on Spoken Language Technology (SLT 2008), Goa, India |
| Pages (from-to) | 237-240 |
| Publisher | IEEE |
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| Abstract | The heuristic estimates of conditional phrase translation probabilities are based on frequency counts in a word-aligned parallel corpus. Earlier attempts at more principled estimation using Expectation-Maximization (EM) underperform this heuristic. This paper shows that a recently introduced novel estimator based on smoothing might provide a good alternative. When all phrase pairs are estimated (no length cut-off), this estimator slightly outperforms the heuristic estimator. |
| Document type | Conference contribution |
| Published at |
https://doi.org/10.1109/SLT.2008.4777884
(Final published version)
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