語言處理機 的英文怎麼說

中文拼音 [yǔyánchǔlǐjī]
語言處理機 英文
language proce or
  • 語 : 語動詞[書面語] （告訴） tell; inform
  • 言 : Ⅰ名詞1. （話） speech; word 2. （漢語的一個字） character; word 3. （姓氏） a surname Ⅱ動詞（說） say; talk; speak
  • 處 : 處名詞1 （地方） place 2 （方面; 某一點） part; point 3 （機關或機關里一個部門） department; offi...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 機 : machineengine
  • 語言 : language
  1. Computer language processing

    計算機語言處理
  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. Support vector machine and its application in natural language processing

    支持向量機及其在自然語言處理中的應用
  4. With the development of computers and the internet, in the field of natural language processing, the application of bilingual named entity word alignment is growing

    隨著計算機和網際網路的發展，在自然語言處理領域，以雙語名實詞對齊為基礎的應用日益增多。
  5. Nc language processor

    數值語言處理機
  6. The relationship between the computational resources available in working memory and the language processing mechanism

    工作記憶區之可用計算資源和語言處理機轉之關系。
  7. Secondly, in order to solve the problem, the article introduces semantic analysis technique, which is a kind of language processing technique in mt and provides semantic information for translation to increase the rate of translation. then logic semantics is presented in detail, which is a kind of semantic analysis technique. thirdly, applying logic semantics to witt, this thesis constructs the logic semantic framework of telegraph to obtain the logic semantics of telegraphs

    針對這個問題，採用機器翻譯中合適的語言處理方法?語義分析技術，利用語義信息提高翻譯率，接著介紹了語義分析技術，詳述了邏輯語義，並用它建立了水情電報的邏輯語義模型，用來為報文作語義分析，從而結合語義信息實現了對幾種類型錯報的翻譯。
  8. Bilingual dictionary is the base of many nlp applications such as multi - lingual information retrieval and machine translation

    摘要雙語詞典是跨語言檢索以及機器翻譯等自然語言處理應用的基礎資源。
  9. Chinese text automatic proofreading, a part of application foundation research of natural language processing, taking the chance of the development of e - journal, gradually gets more and more enough attention, also becomes an urgency task

    而中文文本自動校對，屬于自然語言處理的應用基礎研究范疇，以出版業的電子化迅猛發展為契機，也越來越受到足夠的重視，並成為一項亟待解決的緊迫課題。
  10. 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。
  11. 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

    詞性標注是自然語言處理中的一項基礎性課題，詞性標注的正誤對漢語語料庫標注、機器翻譯和大規模文本的信息檢索等都有重要的意義。
  12. The nlp is how to make computer understanding and create the words in people ' s nature language, i. e chinese, english, understand the nature language, and communicate with people in nature language, i. e answer the people ' s question

    自然語言處理就是研究如何能讓計算機理解並生成人們日常所使用的（如漢語、英語）語言，使得計算機懂得自然語言的含義，並對人給計算機提出的問題，通過對話的方式，用自然語言進行回答。
  13. At present, how to make the computer understand the human natural language, and use the human natural language to simulate language - communication course, realize “ man - machine dialogue ”, has already become an important research field of artificial intelligence ? ? natural language processing

    當前，如何讓計算機理解人類的自然語言，並運用人類的自然語言模擬語言交際過程，實現「人機對話」 ，已經成為人工智慧的一個重要研究領域? ?自然語言處理。
  14. As an important branch of natural language processing ( nlp ) in computer, the research of machine translation has significant social and economic values

    機器翻譯作為計算機自然語言處理的一個重要分支，其研究具有重大的社會經濟價值。
  15. The task of parsing is to design software that can identify syntactic components in a sentence automatically. the performance of many realistic applications such as machine translation, information extraction would be improved if the right syntactic structure was available

    許多自然語言處理任務，如機器翻譯、信息獲取、自動文摘等都要依賴句法分析的精確結果才能最終獲得滿意的解決。
  16. Web mining aims at mining useful knowledge and based on data mining, text mining and multimedia. it integrates the computer network, database and data warehouse, artificial intelligence, information retrieve, visualization, natural language processing and other technologies. web mining is a novel subject which is a combination of conventional data mining technology and web

    Web挖掘是以從web上挖掘有用知識為目標，以數據挖掘、文本挖掘、多媒體挖掘為基礎，綜合運用計算機網路、數據庫與數據倉庫、人工智慧、信息檢索、可視化、自然語言處理等技術，將傳統的數據挖掘技術與web結合起來的一門新興學科。
  17. To realize the individuation service of web information, we need many domanial theoretics and techniques, for example, mostly, information searches, information filtration, computer network, distributed disposal, database manage system, data mining, numeric library, disposal ofnarural language, artificial intelligence, machine learning and so on. thus, to realize the individuation service of web information, we will be encountered great challenges and we have to do a compositive and hard task

    要實現web的個性化服務，涉及到許多領域的理論和技術，主要有信息檢索、信息過濾、計算機網路、分散式處理、數據庫、數據挖掘、數字圖書館、自然語言處理、人工智慧和機器學習等，所以要實現web的個性化服務具有綜合性和挑戰性。
  18. The rough set is capable of describing the vague concepts, and measuring to the extent of vagueness, so it is appropriate to describe the natural language through the rough set. with the rough set theory as background, this paper has studied deeply the rough set representation model and the clustering based on this model

    自然語言的不確定性和模糊性造成了計算機對自然語言處理的困難，由於粗糙集不僅具有描述不精確概念能力，而且還給出了對不精確度的度量，因此將粗糙集的有關理論用於對自然語言的描述有一定合理性。
  19. From the perspective of customers, this paper proposes web news hunter, the intelligent agent system, which uses the natural language processing, machine learning and web searching techniques to mine the news automatically according to the users " interests

    本論文從用戶的角度出發，提出了webnewshunter智能系統，它集自然語言處理，機器學習和網路搜索技術於一身，根據用戶的喜好自動搜索新聞。
  20. Speech recognition ; natural language processing ; machine translation ; multilingual information retrieval and commercial applications of such technologies

    語音識別；自然語言處理；機械翻譯；多種語言的信息檢索；語言技術商品化
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