Patent ID: 8265923
Filing Date: 2012-09-11
Classification: G06F

Abstract:
1. A method comprising: translating source language content in a source natural language to a target natural language using statistical machine translation (SMT) employing a conditional translation probability conditioned on the source language content; and optimizing values of parameters of the conditional translation probability by an iterative optimization process operating on a translation pool, the optimizing including adding candidate aligned translations to the translation pool by sampling available candidate aligned translations for a source language sentence in accordance with the conditional translation probability; wherein the conditional translation probability is quantitatively equivalent to: where f denotes the source language sentence, L denotes the set of available candidate aligned translations, (e, a) denotes a candidate aligned translation for which the conditional probability is computed, h wherein the sampling comprises: selecting a sampled candidate aligned translation by traversing a translation lattice representing the available candidate aligned translations for the source language sentence from its root node to its final node wherein each transition from a current node to a next node is selected based on conditional translation probabilities of the available edges e wherein the SMT and the optimizing are implemented by a SMT system embodied by at least one digital processor.