Deep Model Statistics Method for Machine Translation
AssigneeABBYY InfoPoisk LLC
InventorsKonstantin Anisimovich, Diar Tuganbaev, Vladimir Selegey, Konstantin Zuev
Life of this patent
Estimating the term…
Abstract
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.
Claims10
-26. (canceled)
A computer-implemented method of identifying word combinations in a source language and corresponding likely translations in a target language, the method comprising:
- performing semantic analysis on a text in the source language;
- performing semantic analysis on a text in the target language, which is a translation of the text in the source language;
- matching deep structures of sentences in the text in the source language to deep structures of sentences in the text in the target language;
- determining a correspondence between deep structure elements for sentences with essentially matching deep structures;
- and
- identifying word combinations in the source and the target languages that substantially often match into each other through corresponding deep structure elements as likely translations.
A computer system comprising:
- a processor;
- and
- a storage medium coupled to the processor, the storage medium storing instructions which when executed by the processor cause the computer system to perform steps for identifying word combinations in a source language and corresponding likely translations in a target language, the instructions comprising:
- performing semantic analysis on a text in the source language;
- performing semantic analysis on a text in the target language, which is a translation of the text in the source language;
- matching deep structures of sentences in the text in the source language to deep structures of sentences in the text in the target language;
- determining a correspondence between deep structure elements for sentences with essentially matching deep structures;
- and
- identifying word combinations in the source and the target languages that substantially often match into each other through corresponding deep structure elements as likely translations.
A physical, non-transitory computer storage medium having stored thereon a sequence of instructions which when executed by a computer system cause said computer system to perform a method for identifying word combinations in a source language and corresponding likely translations in a target language, the instructions comprising:
- performing semantic analysis on a text in the source language;
- performing semantic analysis on a text in the target language, which is a translation of the text in the source language;
- matching deep structures of sentences in the text in the source language to deep structures of sentences in the text in the target language;
- determining a correspondence between deep structure elements for sentences with essentially matching deep structures;
- and
- identifying word combinations in the source and the target languages that substantially often match into each other through corresponding deep structure elements as likely translations.
Dependencies are inferred from the claim text.