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System and method for aligning ASR model weights with NLU concepts

机译:用NLU概念对准ASR模型权重的系统和方法

摘要

A method, computer program product, and computer system for identifying, by a computing device, at least one language model component of a plurality of language model components in at least one application associated with automatic speech recognition (ASR) and natural language understanding (NLU) usage. A contribution bias may be received for the at least one language model component. The ASR and NLU may be aligned between the plurality of language model components based upon, at least in part, the contribution bias.
机译:用于通过计算设备识别多个语言模型组件的至少一个语言模型组件的方法,计算机程序产品和计算机系统,其中至少一个应用程序与自动语音识别(ASR)和自然语言理解(NLU)相关联) 用法。可以为至少一个语言模型组件接收贡献偏差。 ASR和NLU可以基于至少部分地,基于贡献偏压在多个语言模型组件之间对齐。

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