Context-based translation retrieval via multilingual space

A method comprising:

• identifying a source word from a data file;
• determining a plurality of translation candidates for the source word which translate the source word from a source language into a different language;
• generating a plurality of vectors for the plurality of translation candidates, respectively, each vector comprising a combination of values including a value for the source word, a value for context associated with the source word, a value for a different respective translation candidate from among the plurality of translation candidates, and a cosine similarity between the source word and the different respective translation candidate;
• inputting the plurality of vectors into a neural network which determines for the plurality of translation candidates based on the plurality of input vectors a relevancy of each respective translation candidate to the source word;
• removing less relevant translation candidates from the plurality of translation candidates based on the determined relevancy of each respective translation candidate;
• choosing a target translation candidate that has a greatest cosine similarity from among remaining translation candidates which have not been removed;
• and
• outputting the target translation candidate for display via a display device.

A non-transitory computer-readable medium storing instructions which when executed by a processor cause a computer to perform a method comprising:

• identifying a source word from a data file;
• determining a plurality of translation candidates for the source word which translate the source word from a source language into a different language;
• generating a plurality of vectors for the plurality of translation candidates, respectively, each vector comprising a combination of values including a value for the source word, a value for context associated with the source word, a value for a different respective translation candidate from among the plurality of translation candidates, and a cosine similarity between the source word and the different respective translation candidate;
• inputting the plurality of vectors into a neural network which determines for the plurality of translation candidates based on the input plurality of vectors a relevancy of each respective translation candidate to the source word;
• removing less relevant translation candidates from the plurality of translation candidates based on the determined relevancy of each respective translation candidate;
• choosing a target translation candidate that has a greatest cosine similarity from among remaining translation candidates which have not been removed;
• and
• outputting the translated target translation candidate for display via a display device.