PREDICTING THE QUALITY OF AUTOMATIC TRANSLATION OF AN ENTIRE DOCUMENT

Patent №

US 9,606,988

Granted

2017-03-28

Filed 2014

Owner

XEROX CORPORATION

Lab

AI components

5

ml · nlp · vision · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14532238

A system and method predict the translation quality of a translated input document. The method includes receiving an input document pair composed of a plurality of sentence pairs, each sentence pair including a source sentence in a source language and a machine translation of the source language sentence to a target language sentence. For each of the sentence pairs, a representation of the sentence pair is generated, based on a set of features extracted for the sentence pair. Using a generative model, a representation of the input document pair is generated, based on the sentence pair representations. A translation quality of the translated input document is computed, based on the representation of the input document pair.

AI classification

Natural language1.00
Machine learning1.00
AI hardware0.98
Vision0.75
Speech0.68
Knowledge representation0.42
Planning0.00
Evolutionary computation0.00

Ownership

XEROX CORPORATION

assignment · 340970487

Assignors

ANDREOLI, JEAN-MARC, LARLUS-LARRONDO, DIANE, MEUNIER, JEAN-LUC

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC