Patent №
US 8,775,155
Granted
2014-07-08
Filed 2010
Owner
XEROX CORPORATION
Lab
—
AI components
7
ml · nlp · vision · speech · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12911252
A system and method for machine translation are disclosed. Source sentences are received. For each source sentence, a target sentence comprising target words is generated. A plurality of translation neighbors of the target sentence is generated. Phrase alignments are computed between the source sentence and the translation neighbor. Translation neighbors are scored with a translation scoring model, based on the phrase alignment. Translation neighbors are ranked, based on the scores. In training the model, parameters of the model are updated based on an external ranking of the ranked translation neighbors. The generating of translation neighbors, scoring, ranking, and, in the case of training, updating the parameters, are iterated with one of the translation neighbors as the target sentence. In the case of decoding, one of the translation neighbors is output as a translation. The system and method may be at least partially implemented with a computer processor.
AI classification
Ownership
XEROX CORPORATION
assignment · 251890034
Assignors
ROTH, BENJAMIN, MCCALLUM, ANDREW R., DYMETMAN, MARC, CANCEDDA, NICOLA
On an employer assignment, the assignors are typically the inventors.