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US 7,689,405 B2Granted
Statistical method for building a translation memory
AssigneeLanguage Weaver, Inc.
InventorDaniel Marcu
Life of this patent
Estimating the term…
Abstract
A statistical translation memory (TMEM) may be generated by training a translation model with a naturally generated TMEM. A number of tuples may be extracted from each translation pair in the TMEM. The tuples may include a phrase in a source language and a corresponding phrase in a target language. The tuples may also include probability information relating to the phrases generated by the translation model.
Claims15
A method comprising:
- training a statistical translation model on a plurality of translation pairs, each translation pair including a text segment in a source language and a corresponding text segment in a target language;
- extracting a plurality of tuples from each of a plurality of said translation pairs, each tuple comprising a pair of phrases and a corresponding word level alignment between said pair of phrases, the pair of phrases including a phrase in the source language comprising at least two words and a corresponding phrase in the target language comprising at least two words, the corresponding word level alignment based on the trained statistical translation model;
- and
- constructing automatically a statistical translation memory from said plurality of tuples, wherein the statistical translation memory encodes a plurality of said pair of phrases and the corresponding word level alignment between each said pair.
1 more element
An automatically constructed statistical translation memory comprising:
- a plurality of tuples extracted from each of a plurality of translation pairs, each tuple comprising a pair of phrases and a corresponding word level alignment between said pair of phrases, the pair of phrases including a phrase in the source language comprising at least two words and a corresponding phrase in the target language comprising at least two words, the corresponding word level alignment based on a statistical translation model trained on the translation pairs.
Apparatus comprising:
- a statistical translation model operative to train on a plurality of translation pairs, each translation pair including a text segment in a source language and a corresponding text segment in a target language;
- an extraction module operative to extract a plurality of tuples from each of a plurality of said translation pairs, each tuple comprising a pair of phrases and a corresponding word level alignment between said pair of phrases, the pair of phrases including a phrase in the source language comprising at least two words and a corresponding phrase in the target language comprising at least two words, the corresponding word level alignment based of the training of the statistical translation model;
- and
- an automatically constructed statistical translation memory based on said plurality of tuples, wherein the statistical translation memory encodes a plurality of said pair of phrases and the corresponding word level alignment between each said pair.
1 more element
An article comprising a machine-readable medium including instructions operative to cause a machine to perform:
- training a statistical translation model on a plurality of translation pairs, each translation pair including a text segment in a source language and a corresponding text segment in a target language;
- extracting a plurality of tuples from each of a plurality of said translation pairs, each tuple comprising a pair of phrases and a corresponding word level alignment between said pair of phrases, the pair of phrases including a phrase in the source language comprising at least two words and a corresponding phrase in the target language comprising at least two words, the corresponding word level alignment based on the trained statistical translation model;
- and
- constructing automatically a statistical translation memory from said plurality of tuples, wherein the statistical translation memory encodes a plurality of said pair of phrases and the corresponding word level alignment between each said pair.
1 more element
Dependencies are inferred from the claim text.