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Representation of a deleted interpolation n-gram language model in ARPA standard format

一种语言模型、插值的技术，应用在自然语言数据处理、语音分析、语音识别等方向，能够解决集成不容易等问题

Inactive Publication Date: 2005-09-28
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because of this, it is not easy to integrate a deleted interpolation language model into a language system expecting to receive an ARPA format language model

Method used

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  • Representation of a deleted interpolation n-gram language model in ARPA standard format
  • Representation of a deleted interpolation n-gram language model in ARPA standard format
  • Representation of a deleted interpolation n-gram language model in ARPA standard format

Examples

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Embodiment Construction

[0014] Figure 1 illustrates an example of a suitable computing system environment 100 upon which the present invention may be implemented. The computing system environment 100 is only one example of a suitable computing environment and is not intended to suggest any limitation as to the scope of use or functionality of the invention. Neither should the computing environment 100 be interpreted as having any dependency or requirement relating to any one or combination of components illustrated in the exemplary operating environment 100 .

[0015] The invention is also operational in numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments, and / or configurations suitable for use with the present invention include, but are not limited to, personal computers, server computers, handheld or laptop devices, multiprocessor systems, microprocessor-based systems , set-top boxes, programmable...

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Abstract

A method and apparatus are provided for storing parameters of a deleted interpolation language model as parameters of a backoff language model. In particular, the parameters of the deleted interpolation language model are stored in the standard ARPA format. Under one embodiment, the deleted interpolation language model parameters are formed using fractional counts.

Description

technical field [0001] The present invention relates to language models, and more particularly to storage formats for storing language models. Background technique [0002] The present invention relates to language models, and more particularly to storage formats for storing language models. [0003] Language models provide probabilities for word sequences. The model is trained from a training data set by counting the frequency of word sequences in the training data. One problem with training a language model in this way is that even though word sequences not observed in the training data may occur in the language, they will still have zero probability in the language model. [0004] To overcome this, back-off modeling techniques have been developed. In the back-off modeling technique, if a sequence of N words is not found in the training data, the probability of the sequence of N-1 words and the back-off weights are used to estimate the probability of the sequence of wor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/28G06F40/00G10L15/00G10L15/18
CPCG06F17/277G10L15/197G06F40/284G06F7/00G06F17/10
Inventor A·阿赛罗C·切尔巴M·马哈间
Owner MICROSOFT TECH LICENSING LLC