Translation method integrating syntactic tree and statistical machine translation technology and translation device

Abstract

The invention discloses a translation method integrating a syntactic tree and statistical machine translation technology and a translation device. The method comprises the following steps. First, a dictionary base, a grammatical rule base, a phrase translation probability table and a target language linguistic model between different languages are established. Then, segmentation, word property removing and grammatical analysis are conducted to an original input sentence, and a syntactic tree is generated. Then by adopting a top-down strategy, the syntactic tree is gone through, by means of each individual node and part of continuous nodes which cross the syntax, the original texts of leaf nodes are taken to be matched with the phrase translation probability table trained by the statistical machine translation, By utilizing the translated texts of the phrase translation table and the linguistic model of the target language, the purpose of improving the fluency and the accuracy of the output translated texts is achieved. By means of the translation method integrating the syntactic tree and the statistical machine translation technology and the translation device, not only is fine grit knowledge provided by the phrase translation table utilized, but also the advantages of the syntactic tree when solving the relevant problems of depth and long distance of a sentence are utilized, and the quality of the texts translated by the machine can be improved remarkably.

Description

technical field [0001] The present invention relates to the field of statistical and regular machine translation, in particular to a machine translation method and device that integrates statistical machine translation techniques such as syntax trees, phrase translation probability tables, and language models. Background technique [0002] With the popularity of the Internet, computer processing of natural language has become an important means of acquiring knowledge from the Internet. For example, in the fields of international exchange, scientific research and education, people need to translate foreign languages. In the past, this was the stage for language masters to display their talents. With the rapid development of hardware technology, the continuous improvement of software technology and the continuous deepening of language research, machine translation has been more and more widely used. Machine translation has its own huge advantages, such as fast translation spe...

AI Technical Summary

Problems solved by technology

Machine translation has its own huge advantages, such as fast translation speed, strong memory ability, and at the same time can reduce translation costs, etc., but its disadvantage is that the translation quality is far from meeting people's needs. How to develop high-quality machine translation method has become an important issue facing us

[0003] The international evaluation in 2011 shows that the translation quality of data-driven and knowledge-driven machine translation is comparable, and it is difficult to meet the needs of users only by using a single method

But the biggest problem with statistical machine translation systems is that it is difficult to deal with the fact that translation generation requires linguistic knowledge. For example, they lack lexical and syntactic functions, and they also lack word order adjustment functions. It is even more difficult to achieve sentence-level word ordering.

In addition, the translation of the statistical machine translation system cannot be just right, and sometimes there will be missing translations and false translations

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