understanding natural language 中文意思是什麼

understanding natural language 解釋
理解自然語言
  • understanding : n 1 認識，了解，理解，領悟，理會。2 悟性，理解力，智力；【哲學】知性 〈opp reason〉。3 諒解；同情...
  • natural : adj 1 自然界的；關于自然界的。2 天然的；未開墾的；野生的。3 固有的 生來的 天賦的（opp acquired）...
  • language : n 1 語言；（某民族，某國的）國語；語調，措詞。2 （談話者或作者所使用的）言語，語風，文風，文體。3...
  1. 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。
  2. Named entity recognition ( ner ) technologies have become a hot problem of natural language process recently. the definition of named entity by muc ( message understanding conference ) is the proper nouns and the quantifiers that people are interested in. ner can be classified to person - name, location, organization, date, number and so on. ner has been applied on many compute linguistics tasts as a subtask of information extraction, such as machine translation

    命名實體識別是目前自然語言處理研究的熱點問題。 muc （ messageunderstandingconferences ）對命名實體的定義是:人們感興趣的專有名詞和特定的數量詞，它一般可分為:人名、地名、組織機構名、日期等類型。
  3. But the commonness of all natural languages is ambiguity. when understanding natural language the most difficulty is disambiguation

    而所有人類自然語言的共性就是歧義的存在，計算機相對於人類理解自然語言而言，最大的障礙就是歧義的消除。
  4. Knowledge procession is one of the emphases of natural language understanding ( nlu ). aiming at the collision between great capacity and management of knowledge, this paper puts forward the conceptual dependency tree ( cdt ), by which to manage the knowledge of a given domain and improve its efficiency

    自然語言理解的核心問題是知識的處理，本文主要針對當今知識的海量化與知識的處理之間的矛盾，提出利用概念從屬樹模型對特定知識域進行管理，進而提高處理效率。
  5. A study of natural language understanding

    自然語言理解研究
  6. 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。
  7. Now research on voice recognition turns to large vocabulary speaker - independent continuous speech recognition and natural language understanding

    語音識別研究也轉向了大詞匯非認人連續語音識別和自然語言理解。
  8. Traditional research in speech - based technology is concentrated on speech recognition, speech synthesis and natural language understanding

    傳統的語音技術方面的研究主要集中在語音識別、文本語音轉換和自然語言理解上。
  9. 7 ruqian lu. pseudo - natural language understanding and knowledge acquisition

    掌控知件的軟體稱為知識中間件。
  10. Natural language understanding

    自然語言理解
  11. So natural language understanding ( nlu ) is the necessary for intelligent cad systems

    所以，智能cad系統離不開自然語言的理解的支持。
  12. Based on research and the application of the database inquiry technology of natural language understanding

    淺談基於自然語言理解的數據庫查詢技術
  13. Natural language understanding is a classic problem in ai, and there are many researches about nlu in the world

    自然語言理解是ai領域的經典難題，目前國內外有大量的研究。
  14. Chinese semantic analysis is the most important and difficult problem of chinese natural language understanding

    漢語語義分析是漢語自然語言理解中的重要課題，也是漢語自然語言理解中的難題。
  15. The thesis restricts the research in one given field - aircraft maintenance information. in this sublanguage the problem can be simplified, so we can get simpler and clearer semantic system and it make up the base of natural language understanding in aircraft maintenance information

    本文將研究限定在一個特殊的領域? ?機務信息，在這個漢語受限子集中漢語分析問題得到簡化，有利於總結出相對簡單、清晰的語義體系，用於支持機務信息的自然語言理解。
  16. Natural language understanding is a huge and complex system project. this paper includes semantic analysis of natural language understanding based on knowledge and conceptual dependency theory

    自然語言理解是一個十分龐大復雜的系統工程，本文應用基於知識的方法和概念從屬理論對自然語言理解的語義分析進行了研究，取得了一定的成果。
  17. First, method based on knowledge should be adopted in the natural language understanding applied to product design domain according to the characteristic of nlu. and conceptual dependency theory is chosen as an important complementarity to the method based on knowledge, through analysis and compares of several existing semantic analysis method present

    首先，根據設計領域自然語言理解的特點，確定應用於產品設計的自然語言理解應該採用基於知識為主的方法，並且通過對目前現有的幾種語義分析方法的比較，確定選擇概念從屬理論作為基於知識的方法的重要補充。
  18. But the traditional search engine cannot meet people ' s demands on intelligent and personalized information service. so in this thesis, intelligent search engine is discussed, which can adjust itself to the user ' s interests and provides personalized information retrieval service. as a new solution, the information retrieval technique by natural language understanding and machine learning is presented in the thesis

    並就方案中涉及到的一系列理論和技術問題進行了研究，主要包括：提出了智能搜索引擎框架，在主動搜索和元搜索的基礎上增加了中文信息處理模塊，實現了搜索引擎的智能化和個性化服務；對漢語分詞技術進行了研究，綜合各種分詞方法實現了一套適合於智能搜索引擎系統的分詞系統。
  19. Nlu ( natural language understanding ) has become one of the most important fields in artificial intelligence study. basing computer, nlu mainly involves the research of understanding, processing and producing natural language

    自然語言處理是人工智慧的一個重要研究領域，它主要研究如何利用計算機來理解、處理和生成自然語言。
  20. Because of the complication of natural language, great uncertain and fuzzy in describing and understanding natural language, so the recognition of text ' s classes is fuzzy. it is justified to express these pattern with fuzzy by the fuzzy theory

    由於自然語言的復雜性，以及在描述和理解方面具有高度的不確定性和模糊性，因而文本類別的識別帶有一定的模糊性，對這些具有模糊性的模式藉助于模糊理論來刻畫顯得很自然。
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