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Home > chinese-english > "part-of-speech tagging" in English

English translation for "part-of-speech tagging"

词类标识
词类标注


Related Translations:
diagnosis tags:  诊断标签
figurative speech:  比喻语
ceremonial speeches:  礼仪祝辞
make speeches:  做演讲
quasi speech:  类言语
speech sound:  言语语音语声语言声语音
adult speech:  成人言语
opening speech:  开幕辞开题报告
formulaic speech:  套语
speech fidelity:  语言保真度
Example Sentences:
1.Part - of - speech tagging is a difficult task in nlp
词性标注是自然汉语处理中的一个难点。
2.Aiming at this question , the paper describes an approach to correcting the part - of - speech tagging of multi - category words automatically
针对这一难点问题,本文提出了一种兼类词词性标注的自动校对方法。
3.In this paper , we study the method of the part - of - speech tagging and analyze the rule method and the statistics method
本文对词性标注的方法进行了研究,分析了基于规则的方法和基于统计的方法的优缺点。
4.The disambiguation of multi - category words is one of the difficulties in part - of - speech tagging of chinese text , which affects the processing quality of corpora greatly
摘要兼类词的词类排歧是汉语语料词性标注中的难点问题,它严重影响语料的词性标注质量。
5.2 . it discusses and analyzes the actuality of chinese part - of - speech tagging , and describes an approach to correcting the chinese part - of - speech tagging automatically
讨论和分析了词性标注的现状,并针对词性标注问题,提出了一种基于粗糙集的兼类词词性标注校对规则的自动获取方法。
6.The former includes chinese word segmentation , part - of - speech tagging , pinyin tagging , named entity recognition , new word detection , syntactic parsing , word sense disambiguation , etc
前者涉及到词法、句法、语义分析,包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
7.The algorithm is applied to automatic correction of chinese part - of - speech tagging , and experimental results show that reducts with better prediction potential are obtained by using appropriate setting of the weight vector
实验结果表明,使用所提出的算法及相应权值向量,可获得更有利于预测的约简。
8.According to the results of close - test and open - test on the corpus of 500 , 000 chinese characters , the accuracy of multi - category words ' part - of - speech tagging can be increased by 11 . 32 % and 5 . 97 % respectively
分别对50万汉语语料做封闭测试和开放测试,结果显示,校对后语料的兼类词词性标注正确率分别可提高11 . 32 %和5 . 97 % 。
9.Part - of - speech tagging is a fundamental theme in natural language processing . it is significant to the tagging of chinese corpus - based , machine translation and information indexing of large scale text
词性标注是自然语言处理中的一项基础性课题,词性标注的正误对汉语语料库标注、机器翻译和大规模文本的信息检索等都有重要的意义。
10.There is usually a change in the word form when a word changes its part - of - speech in english . but there is no change in the word form in chinese . so part - of - speech tagging is more difficult in chinese than in english
在英语中,当一个词变换词性时往往伴随着词型上的变化,而在汉语中则没有词型上的变化,这就增加了汉语词性标注的难度。
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