Method and device for determining probability of word order in translation based on hierarchical phrase model
A phrase model and probability technology, applied in the field of data processing, can solve problems such as the inability to obtain the word order probability of the source sentence translation, wrong translation mode selection, wrong translation results, etc., and achieve the goal of improving data processing performance, correctness, and accuracy Effect
Inactive Publication Date: 2016-06-22
FUJITSU LTD
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Problems solved by technology
[0004] Although the hierarchical phrase model has a strong ability to adjust the sequence, in the existing translation process, due to the lack of control of the sequence adjustment process, the probability of the word order of the translated text of the source sentence cannot be obtained, which will easily lead to the wrong choice of translation mode, and then cause some adjustments. Sequence errors occur frequently
like figure 2 As shown, the source language should have been translated in sequence using the pattern . Because the wrong translation pattern was selected, X2 was adjusted to the front, resulting in an incorrect translation result
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[0038] Embodiments of the present invention will be described below with reference to the drawings.
[0039] The inventor found in the process of realizing the present invention that when using the method of the prior art to determine the translation mode in the data conversion process from the source sentence to the target sentence, there are at least the following problems:
[0040] The hierarchical phrase model contains a variety of translation modes. When determining the translation mode applicable to a certain source sentence, in the prior art, 8 features can be selected based on the source sentence, such as language model, vocabulary penalty, etc., according to the 8 features and their respective weights, it is possible to measure which candidate translation mode has the highest accuracy rate among the candidate translation modes for the source sentence, and then determine the translation mode applicable to the source sentence and execute the translation.
[0041] Howeve...
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The invention discloses a translated text word order probability determination method and a device based on a gradation phrase model. The translated text word order probability determination method includes: determining an alternative translation mode of a source statement; extracting characteristic quantity which is used for characterizing word order probability by aiming at each alternative translation mode; determining the word order probability of the characteristic quantity according to a pre-obtained model training result, determining the word order probability of each alternative translation mode according to the word order probability of the characteristic quantity; and determining translation text word order probability of the source statement according to a maximum value of the word order probability in the alternative translation mode. The translated text word order probability determination method and the device based on the gradation phrase model determine the translation text word order probability of the source statement, increase the control of an order regulating process, improve correctness of translation mode selection, reduce appearance of order regulating error and improve performance of a treating process of converting the source statement into target language data by extracting the characteristic quantity which characterizes the word order probability in the alternative translation mode.
Description
technical field [0001] The present invention generally relates to the technical field of data processing, in particular to a method and device for determining the word order probability of a translated text based on a hierarchical phrase model. Background technique [0002] Hierarchical Phrase-based Model (Hierarchical Phrase-basedModel) is a relatively mature model in the data processing process of converting the source language into the target language. ). The translation patterns used by the hierarchical phrase model mainly include two types: patterns containing non-terminal X and patterns not containing X. The hierarchical phrase model expands the translation by non-terminals and reorders by the word correspondence between the source language and the target language. [0003] Such as figure 1 As shown, the conversion process of the hierarchical phrase model in an example is demonstrated. For example, in the translation process, through a translation mode of the hierar...
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IPC IPC(8): G06F17/28G06F17/30
Inventor郑仲光孟遥于浩
OwnerFUJITSU LTD