• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Turing Test-Based Evaluation of an Experimental System for Generation of Casual English Sentences from Regular English Input
【24h】

Turing Test-Based Evaluation of an Experimental System for Generation of Casual English Sentences from Regular English Input

机译：基于图灵测试的常规英语输入生成休闲英语句子实验系统的评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper proposes an experimental system for generating slang-style casual English sentences from regular English input using a phonetic database approach, primarily as an AI task, with real-life applications such as social media marketing. An original database consisting of multiple candidates of casual English phonemes was constructed, and linguistic analysis of Twitter data used to establish the optimum frequency of slang tokens per sentence. The human-likeness and legibility of output sentences of the experimental system were evaluated using an experiment based on the classical definition of the Turing test, in which fifty human evaluators attempted to distinguish sentences produced by the system from genuine human-authored sentences. The experiment results demonstrated that the gap in human-likeness scores between the "human" and "machine" sentences was small, and that some "machine" sentences actually outperformed several of the "human sentences." The "machine" sentences' average score of 3.1 on a 5-point scale, where 3 indicated complete uncertainty of whether the sentences were human-authored or machine-authored, can be considered a pass of the Turing test in the established definition. In this paper, we describe the potential approaches to the task, the construction of the phonetic database and the proposed system, and discuss the evaluation results.
机译：本文提出了一个实验系统，该系统可使用语音数据库方法（主要作为AI任务）从常规英语输入中生成语风格的随意英语句子，并具有诸如社交媒体营销等现实应用。建立了一个由多个临时英语音素候选者组成的原始数据库，并对Twitter数据进行了语言分析，以确定每个句子中optimum语标记的最佳频率。使用基于图灵测验经典定义的实验评估了实验系统输出句子的人性和易读性，其中有50位人类评估者试图将系统产生的句子与真实的人类创作的句子区分开。实验结果表明，“人类”和“机器”句子之间的相似度得分差距很小，并且某些“机器”句子实际上胜过多个“人类”句子。在5分制中，“机器”句子的平均分数为3.1，其中3表示句子是由人类创作还是由机器创作完全不确定的，可以认为这是通过图灵测验通过的既定定义。在本文中，我们描述了该任务的潜在方法，语音数据库的构建以及所提出的系统，并讨论了评估结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号