Abstract / Description of output
The intention of this article is to provide a concise introduction to the basic mathematical concepts of statistical translation models as they were introduced by Brown et al. (1993) in their groundbreaking work The Mathematics of Statistical Machine Translation: Parameter Estimation. We concentrate on a simplified description of the first two translation models known as IBM Model 1 and 2. It is one major aim of this work to serve as tutoring material for students of computational linguistics, mathematics or computer science and therefore a lot of comments, additional examples and step-by-step explanations are given, augmenting the original formula by Brown et al. (1993). For both discussed models the calculations for a small parallel corpus are described in detail.
| Translated title of the contribution | An introduction to statistical methods in machine translation |
|---|---|
| Original language | Other |
| Pages (from-to) | 44-66 |
| Number of pages | 23 |
| Journal | Investigationes Linguisticae |
| Volume | 16 |
| Publication status | Published - 2008 |