natural language system 中文意思是什麼
natural language system
解釋
自然語言系統-
8th joint symp. computational linguistics, nanjing, 2005, pp. 217 - 220. 54 wang j b, du c l, wang k z. study of automatic abstraction system based on natural language understanding
國內研究者探索了基於實例無指導學習方法互信息計算詞匯向量空間基於依存分析與貝葉斯分類模型結合等各種方法。 -
Lexicon is an important content in natural language processing system
電子詞典的編撰是自然語言處理的重要課題之一。 -
Design of auto - answer system based on natural - language query
基於自然語言提問的自動答疑係統設計 -
Development of a semi - automatic natural language translation system
該項目要開發一個半自動自然語言翻譯系統。 -
Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved
鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。 -
At first system accomplishes chinese language automatic word segmentation and part - of - speech tagging through chinese input approach with word segmentation, then forms corresponding surface semantic network according to the semantic structure grammar, and finally gets corresponding data flow diagram and data dictionary according to the automatic generation algorithms of data flow diagram and data dictionary, the whole completion of the work, can not only provide a description environment of natural language for case, but also develop into the system which takes the question described on the basis of the natural language as the system ' s input
工作的中心是自然語言篇章理解。系統首先通過分詞輸入法實現漢語自動分詞與詞性標注，然後根據語義結構文法產生相應的表層語義網路，最後根據數據流圖、數據字典自動生成演算法轉換為相應的數據流圖和數據字典。這項工作的徹底完成，不僅可以給case提供一個自然語言的描述環境，而且可進一步發展為基於自然語言描述問題作為輸入的系統。 -
Markush coding is divided into 3 layers, i. e. natural language layer, formal language layer and extended connectivity table representation layer, to ensure the consistency of markush sructures and the recorded structures in database files. corresponding to the 3lcm, a concept of 2 level documents is adopted. based on these ideas, a set of software named msiis ( markush structure integrated inputting system ) is being developed to process chemical patent documents automatically
在注重提高族性結構數據庫系統的一致性和檢索效率的原則下，設計了族性結構加工處理方案- - msiis系統，該系統通過建立族性結構三層編碼模型（ 3clm ）和兩級文檔存貯編碼，有效地保證了數據庫數據記錄與源文檔的一致性；通過對初處理文檔的優化編譯? ?即在最佳展開點展開族性結構? ?生成具有高檢索效率的標準文檔，這樣在數據庫記錄中就保證了檢索的高效率。 -
Design and implementation of a small business rule management system based on constrained chinese natural language
基於受限中文的輕型業務規則管理系統的設計與實現 -
The result of this research can be applied to many fields of natural language, such as questions classification in qa system, relations assignment, word assignment and statistic machine translation, information extraction, text classification and parsing of spontaneous speech
本文的研究成果可以應用到自然語言的其他領域，比如:問答系統中問句分類，機器翻譯中的關系對齊、詞對齊和統計機器翻譯，信息抽取，文本分類，語音識別等。 -
And at last we build a natural language understanding system - the aircraft maintenance information standardization system
初步實現了一個自然語言理解系統? ?機務信息規范化系統。 -
In applying fuzzy systems, a common problem is that there may exist redundant fuzzy subsets and rules, which can on the one hand increase the complexity of the fuzzy system and wasting the computational capacity, on the other hand make it difficult to describe the fuzzy system with natural language
應用模糊系統時，常常會遇到的一個問題就是系統中可能存在冗餘的模糊子集和模糊規則。一方面增加了系統復雜性，浪費了計算能力，另一方面也給使用自然語言來描述系統造成了困難。 -
Question answering system can provides a precise and concise answer to a natural language query
摘要問答系統應能用準確、簡潔的答案回答用戶用自然語言提出的問題。 -
The application of clustering into information filtering, to a certain degree, promotes the filtering efficiency of the system, and plays an active role in the examination of the precision and recall of the text. the indeterminacy and vagueness of natural language cause difficulty to nlp
本質上，聚類屬於一種無監督的學習，將聚類技術應用於信息過濾中可以在一定程度上提高系統的過濾效率，同時也對信息過濾的查準率與查全率有積極的作用。 -
This system is composed of three primary aspects : problem processing, information retrieving and answer extracting. when user submit a question in natural language, firstly we need to clarify the intention of the user ’ s question, classify the questions, affirm the request that the answer must meet, extract the keywords and their extensions of the user ’ s question
本文正是對中文問答系統的一個探索，系統包括三個主要組成部分:問題處理、信息檢索和答案抽取。對于用戶提交的問題，首先要掌握用戶的提問意圖，對問題進行分類，同時確定答案需要滿足的要求，並提取用戶提問中的關鍵詞及其擴展。 -
We designed a small business rule management system based on the constrained chinese natural language. the system comprises a three - level rule language model to facilitate the direct one - for - one encoding of business logic specifications into business rules
基於受限漢語的業務規則管理系統在傳統brms的基礎上引入了中文環境，使得業務規則具有受限自然語言的表達和開發實施平臺，大大提高了brms的易用性。 -
Natural language interface for database ( nlidb ), which is a newly kind of intelligentinterface, allows the user to interact with database system in natural language
數據庫自然語言介面允許用戶以自然語言的方式和數據庫系統交互，是新一代的智能介面。 -
Natural language system
自然語言系統 -
The characteristic and an advantage of natural language is that, as a symbolic system, it has an internal logical framework for organizing and positioning conceptual knowledge, which is its lexicon system
摘要作為符號系統的自然語言其最大特點，也是優點是它有一個組織與存放概念知識的邏輯框架，就是它的辭匯體系。 -
This framework implements the fundamental function of natural language to condense, absorb, organize and position conceptual knowledge, and creates progressively a very large and complex build - in knowledge system in the language
自然語言靠它實現了凝聚、吸收、組織、存放概念知識的功能，從而使語言內部逐漸形成一個極其龐大復雜的概念知識體系。 -
In further research, the following issues must be considered : 1 ) the standardize of corpus ; 2 ) improve the accuracy of chinese words divided syncopation system, handle the different meanings of one word and recognize the words that do not appear in the dictionary ; 3 ) process semantic analysis ; 4 ) dynamically update the training sets fed back by the user ; 5 ) quantitatively analyze the system performance influenced by different factors, use an appropriate model to compare and evaluate the web text classification system ; 6 ) natural language process ; 7 ) distinguish the disguise of sensitive words
在以後的工作中考慮如下問題: 1 ）數據集的標準化; 2 ）分詞系統精度的提高，對歧義處理以及未登錄詞識別的能力的提高: 3 ）進行合理的語義分析: 4 ）利用用戶反饋信息動態更新訓練集; 5 ）定t分析分類器不同要素對分類系統性能的影響，使用合適的模型來比較和評價分類系統; 6 ）自然語言理解問題，如「引用」問題; 7 ）對于敏感詞匯偽裝的識別問題。
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