초록 ▼

An apparatus for translating a series of source words in a first language to a series of target words in a second language. For an input series of source words, at least two target hypotheses, each comprising a series of target words, are generated. Each target word has a context comprising at least

An apparatus for translating a series of source words in a first language to a series of target words in a second language. For an input series of source words, at least two target hypotheses, each comprising a series of target words, are generated. Each target word has a context comprising at least one other word in the target hypothesis. For each target hypothesis, a language model match score comprises an estimate of the probability of occurrence of the series of words in the target hypothesis. At least one alignment connecting each source word with at least one target word in the target hypothesis is identified. For each source word and each target hypothesis, a word match score comprises an estimate of the conditional probability of occurrence of the source word, given the target word in the target hypothesis which is connected to the source word and given the context in the target hypothesis of the target word which is connected to the source word. For each target hypothesis, a translation match score comprises a combination of the word match scores for the target hypothesis and the source words in the input series of source words.

대표청구항 ▼

[ What we claim as new, and wish to secure by Letters Patent, is:] [1.]1. A computer-implemented method for translating source words using a language translation process, the language translation process using an adjustable model, the method comprising the steps of:choosing an initial model for the

[ What we claim as new, and wish to secure by Letters Patent, is:] [1.]1. A computer-implemented method for translating source words using a language translation process, the language translation process using an adjustable model, the method comprising the steps of:choosing an initial model for the language translation process;generating, responsive to the source words, an output corresponding to at least one target hypothesis using the language translation process and the initial model;adjusting the initial model to generate an adjusted model, including the following steps (a)-(j):(a) providing a set of candidate features exhibited in the output of the language translation process;(b) providing a sample of data representing the output of the language translation process being modeled;(c) generating an intermediate model from the initial model of the language translation process;(d) initializing an active set S of features contained in the intermediate model;(e) computing scores representing the benefit of adding features to the intermediate model;(f) selecting one or more features having scores higher than a first given value;(g) if none of the scores is higher than a second given value, stop;(h) adding selected features to the set S of active features;(i) computing a model Ps containing the features in S to be the intermediate model; and(j) repeating steps (e)-(i) until the stop condition of step (g) is satisfied to determine from the intermediate model an adjusted model; andtranslating the source words with the language translation process operating using the adjusted model.