Patent Document ID: 9262406
Application ID: 14271997

Base Claim:
1. A computer-implemented method, comprising: receiving, at a server having one or more processors, labeled training data including a plurality of groups of words, each group of words having a predicate word, each word having generic word embeddings; extracting, at the server, the plurality of groups of words in a syntactic context of their predicate words; concatenating, at the server, the generic word embeddings to create a high dimensional vector space representing features for each word; obtaining, at the server, a model having a learned mapping from the high dimensional vector space to a low dimensional vector space and learned embeddings for each possible semantic frame in the low dimensional vector space; and outputting, by the server, the model for storage, the model being configured to identify a specific semantic frame for an input.

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Claim 10:
10. The computer-implemented method of claim 1 , further comprising: receiving, at the server, a text to be translated from a source language to a target language, the source language being a same language as a language associated with the model; analyzing, at the server, the text using the model; and generating and outputting, by the server, a translation of the text from the source language to the target language based on the analyzing of the text using the model.