Method and system for confidence-weighted learning of factored discriminative language models
US8798984B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2011 |
| Grant date | Aug 5, 2014 |
| Priority date | — |
| Expiry date | May 12, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/197
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for building a language model for a translation system are provided. The method includes providing a first relative ranking of first and second translations in a target language of a same source string in a source language, determining a second relative ranking of the first and second translations using weights of a language model, the language model including a weight for each of a set of n-gram features, and comparing the first and second relative rankings to determine whether they are in agreement. The method further includes, when the rankings are not in agreement, updating one or more of the weights in the language model as a function of a measure of confidence in the weight, the confidence being a function of previous observations of the n-gram feature in the method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.