Patent №
US 8,442,810
Granted
2013-05-14
Filed 2012
Owner
ABBYY INFOPOISK LLC
Lab
—
AI components
3
ml · nlp · kr
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13626722
In one embodiment, the invention provides a method for machine translation of a source document in an input language to a target document in an output language, comprising generating translation options corresponding to at least portions of each sentence in the input language; and selecting a translation option for the sentence based on statistics associated with the translation options.
Machine learningNatural languageKnowledge representationG06F 40/58G06F 40/268G06F 40/284G06F 40/30G06F 40/44G06F 40/55
AI classification
Natural language1.00
Machine learning0.99
Knowledge representation0.93
AI hardware0.40
Evolutionary computation0.20
Speech0.07
Planning0.00
Vision0.00
Ownership
ABBYY INFOPOISK LLC
assignment · 299240088
Assignors
ANISIMOVICH, KONSTANTIN, SELEGEY, VLADIMIR, ZUEV, KONSTANTIN
On an employer assignment, the assignors are typically the inventors.
From the same owner
DETERMINING CONFIDENCE LEVELS ASSOCIATED WITH ATTRIBUTE VALUES OF INFORMATIONAL OBJECTSUS 10,303,770 · 2019METHOD AND SYSTEM OF TEXT SYNTHESIS BASED ON EXTRACTED INFORMATION IN THE FORM OF AN RDF GRAPH MAKING USE OF TEMPLATESUS 10,210,249 · 2019ASPECT-BASED SENTIMENT ANALYSIS AND REPORT GENERATION USING MACHINE LEARNING METHODSUS 10,198,432 · 2019EVALUATING TEXT CLASSIFIER PARAMETERS BASED ON SEMANTIC FEATURESUS 10,078,688 · 2018MULTI-STAGE RECOGNITION OF NAMED ENTITIES IN NATURAL LANGUAGE TEXT BASED ON MORPHOLOGICAL AND SEMANTIC FEATURESUS 10,007,658 · 2018LANGUAGE AMBIGUITY DETECTION OF TEXTUS 9,984,071 · 2018NATURAL LANGUAGE TEXT CLASSIFICATION BASED ON SEMANTIC FEATURESUS 9,928,234 · 2018METHOD AND DEVICE TO ESTIMATE SIMILARITY BETWEEN DOCUMENTS HAVING MULTIPLE SEGMENTSUS 9,892,111 · 2018