Invention Grant
- Patent Title: Method and system for confidence-weighted learning of factored discriminative language models
- Patent Title (中): 基于因子歧视语言模型的置信加权学习方法与系统
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Application No.: US13094999Application Date: 2011-04-27
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Publication No.: US08798984B2Publication Date: 2014-08-05
- Inventor: Nicola Cancedda , Viet Ha-Thuc
- Applicant: Nicola Cancedda , Viet Ha-Thuc
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06F17/20
- IPC: G06F17/20 ; G06F17/28 ; G10L15/06

Abstract:
A system and method for building a language model for a translation system are provided. The method includes providing a first relative ranking of first and second translations in a target language of a same source string in a source language, determining a second relative ranking of the first and second translations using weights of a language model, the language model including a weight for each of a set of n-gram features, and comparing the first and second relative rankings to determine whether they are in agreement. The method further includes, when the rankings are not in agreement, updating one or more of the weights in the language model as a function of a measure of confidence in the weight, the confidence being a function of previous observations of the n-gram feature in the method.
Public/Granted literature
- US20120278060A1 METHOD AND SYSTEM FOR CONFIDENCE-WEIGHTED LEARNING OF FACTORED DISCRIMINATIVE LANGUAGE MODELS Public/Granted day:2012-11-01
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