Feng Liang

US Patent:

20170103338, Apr 13, 2017

Filed:

Oct 8, 2015

Appl. No.:

14/878762

Inventors:

- Menlo Park CA, US
Fei Huang - Boonton NY, US
Feng Liang - Sunnyvale CA, US

International Classification:

G06N 99/00
G06F 17/28

Abstract:

The described technology can provide semantic translations of a selected language snippet. This can be accomplished by mapping snippets for output languages into a vector space; creating predicates that can map new snippets into that vector space; and, when a new snippet is received, generating and matching a vector representing that new snippet to the closest vector for a snippet of a desired output language, which is used as the translation of the new snippet. The procedure for mapping new snippets into the vector space can include creating a dependency structure for the new snippet and computing a vector for each dependency structure node. The vector computed for the root node of the dependency structure is the vector representing the new snippet. A similar process is used to train a transformation function for each possible node type, using language snippets already associated with a dependency structure and corresponding vectors.