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作 者:袁雨轩 李放[1] 陈科淇 韩正 YUAN Yu-xuan;LI Fang;CHEN Ke-qi;HAN Zheng(School of Digital Arts and Design,Dalian Neusoft University of Information,Dalian 116023,China;Warwick Business School,University of Warwick,Coventry CV47AL,UK)
机构地区:[1]大连东软信息学院数字艺术与设计学院,辽宁大连116023 [2]华威大学华威商学院,考文垂CV47AL
出 处:《计算机技术与发展》2021年第9期214-220,共7页Computer Technology and Development
基 金:辽宁省社会科学规划基金项目(L19CXW006).
摘 要:目前的虚拟仿真系统主要围绕物理、化学实验和数学公式展开,对文学作品的仿真案例较少。随着设备计算能力的进步,利用深度学习模型处理中文自然语言输入是目前的研究热点。由于中文是一种意和型的、不执著于文法规范的语言,自然语言处理技术对中文的处理相比英文要复杂许多,这一现状极大限制了该技术在应用层面的发展。而在实际应用上,对自然语言文本中知识的可视化可以极大丰富内容的精彩程度。对此,针对中文的词法和句法展开研究,通过实验分析不同词性和依存关系对句子深层逻辑的影响。对人们使用自然语言输入的句子提炼成以词语为单位的主要成分,并转化为易于计算机理解知识的实体和逻辑关系,同时设计了一套可行的解决方案辅以实体在游戏引擎中生成动画,最终以视频的形式进行可视化呈现。At present,the virtual simulation system mainly revolves around physical and chemical experiments and mathematical formulas,and there are few simulation cases for literary works.The resolution of Chinese language input methods by using deep learning model on more advanced computing power system becomes prevalent in research field.However,study shows that the Chinese language is much different than English as more of a logogram language with non-regular grammar rules,which creates natural barrier on the application of such technology.In terms of the actual implementation of such technology,it would largely enrich the visualized contents of natural language processing.Therefore,we will analyze the influence on the logical relationship through an experimental analysis to take research on the interdependency and different parts of speech by inspecting the particular grammar and lexical definition of the Chinese language.By extracting the sentences from the users and converting these extractions into a real identity and logical relationship that could be processed by computers,and designing a solution in which would act as an ancillary unit of such identity to help processing images and visualized to a video form in gaming engine.
关 键 词:虚拟仿真 UNITY3D 百度AI 自然语言处理 依存句法分析
分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]
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