word sense
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英
英漢解釋
例句
Word Sense Disambiguation (WSD) has always been a difficult and hot points in natural language processing.
詞義消歧是自然然語言處理中的一個難點和熱點問題。
Word sense disambiguation is one of the difficult problems in natural language processing.
詞義消歧是自然語言處理中的難題之一。
Word sense tagging is one of the most difficult problem in natural language processing.
詞義標注是自然語言處理的難題之一。
The range of polysemous words as the object of the computer automatic word sense disambiguation is delimited.
先界定了作為計算機自動詞義消歧對象的多義詞的范圍；
This paper investigates their application effect on Chinese Word Sense Disambiguation (WSD) by experiments.
本文通過實驗考察了這兩種網絡模型在漢語詞義消歧上的應用效果。
The POS and word sense disambiguation approaches based on individual rules have been experienced in non-lexical paralleled parallel corpus.
第三，在未經詞匯對齊的平行語料中，實踐了基于個性規則的詞性、詞義消歧方法。
The elaborated context cue is also helpful, indicating contextual information as useful in resolving word sense ambiguity.
具體闡述的語境提示也是有效的，表明語境信息在解決詞義的歧義方面也是有效的。
thee expression of multiple syntactic forms: a single word sense can have multiple syntactic realization.
同一個意義可能會有多個不同的句法表現。
Bayesian network is simple, effective and easy constructed for classifying word sense.
貝葉斯網絡用于詞義分類簡單高效，模型容易構造；
The rate of correct word sense disambiguation is over 98 % in the closed test, and over 96% in the open test.
詞義消歧的精確率，封閉測試高達98%以上，開放測試高達96%以上。
A word sense disambiguation method based on semantic graph structure was presented.
提出了一種基于語義網絡結構的詞義消歧方法。
Therefor, it is necessary to do the professional studies on word sense for MT.
為此，我們有必要為機器翻譯這個特定的自然語言處理領域做專門的語義研究。
The Function of the Word Sense in Sentence Understanding
詞的具體意義對句子意思理解的影響
HowNet; Similarity of concept; Word sense disambiguation; Ratio of the amount of information; Sentences semantic similarity;
知網；概念相似度；詞語消歧；信息量比；句子語義相似度；
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
使用概率網絡的形容詞的詞義消岐
Software platform oriented to Chinese word sense automatic tagging research
面向漢語詞義自動標注研究的軟件平臺開發
Coarse-Grained Word Sense Disambiguation Using Features Described in the Lexicon
基于詞典屬性特征的粗粒度詞義消歧
The Research Progress of Statistical Word Sense Disambiguation
統計詞義消歧的研究進展
The Model of Word Sense Disambiguation Combining Statistics and BP Neural Networks
統計與神經網絡相結合的詞義消歧模型
Word Sense Disambiguation with Semantic Graph Structure
語義網絡結構下的詞義消歧
Unsupervised Chinese Word Sense Disambiguation Based on Dependency Grammar Analysis and Bayesian Network
基于依存分析和貝葉斯網絡的無指導漢語詞義消歧
Word Sense Disambiguation of Spoken Chinese Using Neural Network
基于神經網絡的漢語口語多義選擇
The State-of-the-Art and Future Aspects of Word Sense Disambiguation
詞義消歧研究的現狀與發展方向
Computational Method for Word Sense Evolution
詞義演化的計算方法
Word Sense Tagging in Chinese- English Parallel Corpora
漢英雙語平行語料庫的詞義標注
New Chinese Word Sense Disambiguation Method
一種新的漢語詞義消歧方法
Implement a full- text automatic system for word sense tagging
一個全文詞義自動標注系統的實現
Word Sense Disambiguation Based on Dependency Relationship Analysis and Bayes Model
基于依存分析改進貝葉斯模型的詞義消歧
An Improved Chinese Word Sense Disambiguation Method Based on Primitive Co-Occurrence Data
改進的基于義原同現頻率的漢語詞義排歧方法
Full-words Automatic Word Sense Tagging Based on Unsupervised Learning Algorithm
基于無指導機器學習的全文詞義自動標注方法
Solution Strategies for Word Sense Problems Based on Vector Space Model and Maximum Entropy Model
基于矢量空間模型和最大熵模型的詞義問題解決策略
Unsupervised word sense tagging method based on transformation rules
基于轉換的無指導詞義標注方法
Unsupervised approach to word sense disambiguation based on vector space model
基于向量空間模型的無導詞義消歧
A model of Chinese word sense disambiguation based on combining rule and statistics method
規則與統計相結合的漢語詞義消歧模型
A Chinese Word Sense Disambiguation System Based on Primitive CO- Occurrence Data
基于義原同現頻率的漢語詞義排歧系統
Using the BP neural networks to Chinese word sense disambiguation
利用BP神經網絡的中文詞義消歧模型
Word Sense Disambiguation Based on Multi-Classifier Decision
基于多分類器決策的詞義消歧方法
Method of word sense disambiguation based on bayes and machine readable dictionary
一種基于貝葉斯分類與機讀詞典的多義詞排歧方法
Chinese word sense disambiguation based on extension theory
基于可拓學理論的漢語詞義消歧
An introduction of word sense disambiguation based on Bayers model
淺談基于改進貝葉斯模型的詞義消歧方法
