natural language text 中文意思是什麼

natural language text 解釋
自然語言正文, 自然語言原文
  • 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...
  • text : n 1 原文，本文，正文；（文藝學等所說的）文本。2 課文，課本，教科書。3 基督教聖經經文，經句〈常引...
  1. The demanian allegorical and the jamesonian political model of reading seem to have a " natural " affinity with each other : both prove the allegorical character of the text or reading and both take pains to uncover the political desire for ideological hegemony in language

    德曼的寓言閱讀模式和詹姆遜的政治閱讀模式似乎有一種「天然的」親和關系：兩者都論證文本或解讀的寓言特徵，兩者都苦心孤詣地揭示語言世界里爭奪意識形態霸權的政治慾望。
  2. 11 mounlinier i, ganascia j g. applying an existing machine learning algorithm to text categorization. in connectionist statistical, and symbolic approaches to learning for natural language processing, wermter s, riloff e, scheler g eds., heidelberg, germany : springer verlag, lecture notes in computer science, vol

    由於挖掘出的特徵項目集可能很多，為了進一步的精簡項目集，提出了一個以可變精度粗糙集模型為基礎的方法對每個特徵頻繁項目集對分類的貢獻進行評估，剪除那些對最後的分類效果貢獻不大的項目集，並用精簡后的項目集構造每類文檔的主題模板。
  3. 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。
  4. 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。
  5. 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。
  6. Question - answering system is a research topic which collecting natural language processing, knowledge expressing and information retrieving to one body. it establishes on the text retrieval foundation, but it is different from the traditional search engines

    問答系統是集自然語言處理、知識表示、信息檢索於一體的研究課題，它建立在文本檢索的基礎上，但又不同於傳統的搜索引擎。
  7. 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。
  8. 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。
  9. 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。
  10. 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。
  11. The original knowledge which is described in natural language in electronic text is disposed by filtrating, semantic block segmenting, word segmenting, syntax and semantic analyzing, pattern matching. in the end it is expressed in the semantic network and storaged in the multimedia knowledge database

    在本系統中，原始的以電子文本形式存在的自然語言描述的知識經過過濾，切分語義塊，分詞及語法、語義分析，模式匹配，以語義網路的形式存入多媒體數據庫。
  12. Question answering ( qa ) is the next generation of search engine which is related to natural language processing, information retrieval and etc. a question answering contains question classification, query expansion, text retrieval, answer extraction and answer selection

    自動問答系統是集自然語言處理技術和信息檢索技術於一身的新一代智能搜索引擎。問答系統包括問題分類、查詢擴展、文本檢索、答案抽取和答案選擇排序，其中，問題分類和答案抽取最為關鍵。
  13. Document management ; text mining and data mining ; knowledge management ; artificial intelligence ; natural language processing ; information retrieval ; machine translation ; speech recognition ; multilingual technologies

    檔案管理；文字及數據挖掘；知識管理；人工智慧；自然語言處理；信息檢索；機械翻譯；語音識別；多種語言技術
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