找词语>英语词典>word sense翻译和用法

word sense

英 [wɜːd sens]

美 [wɜːrd sens]

网络  词义; 字义; 同义项

网络

英英释义

noun

双语例句

  • Word sense disambiguation ( WSD) is all along an important and difficult problem in nature language processing.
    词义消歧一直是自然语言处理中的重点和难点问题。
  • Although techniques of word sense disambiguation have advanced greatly, the research objects have mainly centered on the common nouns and verbs.
    尽管语义排歧技术取得了很大发展,但目前的语义排歧研究对象还是主要集中在普通动词和名词的语义排岐上。
  • Combining Pseudo-Samples and Manually-Tagged Samples for Word Sense Disambiguation
    伪实例与人工标注实例相结合的词义消歧方法
  • The first stage is to verify the information of all word sense on the Semantic Role Labeling.
    第一阶段是验证全词词义信息对语义角色标注的影响。
  • A Model of Word Sense Disambiguation of English Modal Verb May by a Neural Network
    基于人工神经网络构建英语情态动词may的语义排歧模型
  • A language model for word sense disambiguation
    词义排歧的一种语言模型
  • We classify the contexts of the Polysemous word by clustering of k-means and the contexts in each category correspond to the same word sense;
    使用k-means聚类的方法对一个多义词的多个上下文进行聚类,每一个类中的多义词对应同一个义项;
  • 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。
  • For polysemantic words, the maximum entropy model with long distance information was applied to word sense disambiguation.
    针对多义词的词义问题应用融合远距离上下文信息的最大熵模型进行了有导词义消歧的研究。
  • Word sense tagging has always been important in Nature Language Processing.
    词语义项标注在自然语言处理领域占有重要地位。