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Hardware Natural Language Interface

机译:硬件自然语言界面

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摘要

In this paper an efficient architecture for natural language processing is presented, implemented in hardware using FPGAs (Field Programmable Gate Arrays). The system can receive sentences belonging to a subset of Natural Languages (NL) from the internet or as SMS (Short Message Service). The recognition task of the input string uses Earley’s parallel parsing algorithm and produces intermediate code according to the semantics of the grammar. The intermediate code can be transmitted to a computer, for further processing. The high computational cost of the parsing task in conjunction with a possible large amount of input sentences, to be processed simultaneously, justify the hardware implementation of the grammar (syntax and semantics). An extensive illustrative example is given from the area of question answering, in order to show the feasibility of the proposed system.
机译:本文在使用FPGA(现场可编程门阵列)的硬件中实现了用于自然语言处理的有效架构。该系统可以从Internet或SMS接收属于自然语言(NL)子集的句子(短消息服务)。输入字符串的识别任务使用Earley并行解析算法,并根据语法的语义产生中间代码。中间代码可以发送到计算机,以进一步处理。解析任务的高计算成本与可能的大量输入句子一起进行处理,以同时处理,证明语法的硬件实现(语法和语义)。从问题领域给出了广泛的说明性示例,以显示所提出的系统的可行性。

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