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SYSTEMS AND METHODS TO CONTROL WORK PROGRESS FOR CONTENT TRANSFORMATION BASED ON NATURAL LANGUAGE PROCESSING AND/OR MACHINE LEARNING
SYSTEMS AND METHODS TO CONTROL WORK PROGRESS FOR CONTENT TRANSFORMATION BASED ON NATURAL LANGUAGE PROCESSING AND/OR MACHINE LEARNING
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机译:基于自然语言处理和/或机器学习的内容转换工作进度控制系统和方法
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摘要
Systems and methods are provided to compute indicators of completeness of the work output of a transformation of text-based content, worker capacity in performing the transformation, and/or the degree of matching between a unit of work and a worker, based on information collected about complexity of works, times and throughput of workers, rating of work outputs and using natural language processing techniques and machine learning techniques, such as language detection, longest common substring, length ratio, document similarity, etc. The indicators are utilized to optimize job pickup and output submission for online crowdsourcing tasks related to transformation of text-based content, such as transcription, translation, proofreading, etc.
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