Patent Document ID: 6092034
Application ID: 09123166

Base Claim:
1. A system for translating a series of source words in a first language to a series of target words in a second language, comprising: input means for inputting the series of source words; a fertility hypothesis generator operatively coupled to said input means for generating at least one fertility hypotheses for a fertility of a source word, based on the source word and a context of the source word; a sense hypothesis generator operatively coupled to said input means for generating sense hypotheses for a translation of the source word, based on the source word and the context of the source word; a fertility model operatively coupled to said fertility hypothesis generator for determining a probability of the fertility of the source word, based on the source word and the context of the source word; a sense model operatively coupled to said sense hypothesis generator for determining a probability of a target word being a correct translation of the source word, based on the source word and the context of the source word; and a decoder operatively coupled to said fertility and sense models for generating a list of target words for the translation of the source word, based on the probability calculated by said fertility model and the probability calculated by said sense model.

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Claim 13:
13. The system of claim 1, wherein the system is trained on a sentence-aligned training text including a plurality of sentences in the source language and a plurality of sentences in the target language, wherein each sentence in the plurality of source language sentences is a translation of a corresponding sentence in the plurality of target language sentences, and a training portion of the system comprises: a word-alignment model for determining an alignment between the words of each of the plurality of source language sentences and the corresponding target language sentence; a fertility-context event accumulator for accumulating fertility-context events from the alignments determined by said word-alignment model for at least some occurrences of the source word in a source language sentence, each fertility-context event including a number of target language words that the source language word is aligned to, the source language word, and the context of the source-language word; a sense-context event accumulator for accumulating sense-context events from the alignments determined by said word-alignment model for at least some occurrences of the source word in a source language sentence, each sense-context event including the target word, the source-language word to which the target language word is aligned, and the context of the source-language word; and wherein said fertility model and said sense model are constructed using the fertility-context events and sense-context events accumulated by said fertility-context event accumulator and said sense-context event accumulator, respectively.