語義處理 的英文怎麼說

中文拼音 [yǔyìchǔlǐ]
語義處理 英文
semantic processing
  • 語 : 語動詞[書面語] （告訴） tell; inform
  • 義 : Ⅰ名詞1 （正義） justice; righteousness 2 （情誼） human ties; relationship 3 （意義） meaning; si...
  • 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...
  • 語義 : semanteme; semantics
  1. Kernel signal handling is rather elaborate, because the posix semantics allows processes to temporarily block signals

    內核信號處理是很復雜的過程，因為posix信號語義允許進程臨時禁止某些信號的接收。
  2. 2. on information extraction and recognition, some rules of dimension mark extraction are summarized by analyzing the dimension restriction semantics, then effective methods of extracting text information from heading - table and filtering drawing ’ s peripheral frame are presented, in addition, this paper also discusses cutaway view ’ s recognition and pre - processing. 3

    2 .在信息提取與識別方面，分析了尺寸標注約束語義，總結出尺寸標注提取的規則;給出了標題欄信息提取和工程圖紙圖框過濾的方法;詳細討論了有關剖視信息的提取、識別和預處理方法。
  3. Type logical semantics for discontinuous quantifier

    邏輯語義處理
  4. 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。
  5. Word sense disambiguation ( wsd ) is an important research project in computalitonal linguistics and natural language processing ( nlp ), and is also one of hot spot research problems in nlp in recent years

    詞義消歧（ wordsensedisambiguation ， wsd ）是計算語言學和自然語言處理領域一個重要的研究課題，也是近些年來該領域的熱點研究問題之一。
  6. The former makes and realizes the aggregation rules with the representation of schema and rst. the later determines the place of semantic components, which identify the content. in the sentence. 6

    制定和實現了schema表示下和rst表示下的優化聚合規則；語言處理模型確定了標識句子內容的語義成分在句子中的位置。
  7. You may also want to consider a less well - known approach to such compromise : schema systems that work to separate semantics from the chosen syntax

    對于這類折衷，還可以考慮不那麼常見的一種方法：從選定的語法處理單獨語義的模式系統。
  8. Processing instructions do not have to follow much internal syntax, can include markup characters without escaping them, and can appear anywhere in the document outside of other markup

    處理指令不必遵守許多內部語法。處理指令可以包括未轉義的標記字元，可以出現在文檔中其他標記以外的任意位置。
  9. Main methods of nlp include statistics based on language information corpus and parsing language information based on rules

    目前對于自然語言理解的研究主要有基於語料庫的統計方法和基於規則的語義處理方法。
  10. Semantic analyzing is the third part, and it introduces the semantic data structure i designed in detail, i. e., symbol form and the so - called key semantic data structure. also it introduces the way of error handling

    第三階段為語義處理階段，在這一階段詳細闡述了本文所設計的語義數據結構：符號表和核心語義數據結構，並對差錯處理的方法進行了介紹。
  11. 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。
  12. This is because, except for the use of some punctuation marks in modern texts, written chinese does not include properly seqmented words, as is the case with european languages

    孫茂松和左正平的文章主要針對漢語自然語言處理中的交集型切分歧義問題。歧義問題是漢語處理中受到普遍關注的難點之一。
  13. 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。
  14. Second, the importance of semantic analysis of prepositional phrases and structures in cnlu ( chinese natural language understand ) is illuminated briefly, and the semantic analysis will be the key breach in cnlu

    然後對介詞短語和介詞結構在漢語語言處理中的作用作了簡單說明，認為對介詞短語的語義分析將是漢語語義理解中的一個重要突破點。
  15. 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。
  16. In this thesis, the author first introduces the latest development of automatic summarization system in domestic and abroad, which shows the lack of the automatic summarization system research. then the author introduces some basic concepts about automatic abstract system

    在本文中，首先介紹了自然語言處理的基礎概念體系，給出了自然語言處理的定義及其研究和處理的方法和過程，接著便介紹國內外關于自動文摘系統等方面的研究方向和發展動態，並指出了自動文摘系統研究的某些不足。
  17. This paper embarks on from rationalism natural language processing and proposes the method of expressing concept using the dynamic attribute set according to the theory of conceptual dependency and complex attribute set. then the paper briefly analyzes the process of constructing the dynamic attribute set via unification, proposes the matching theory that conceptual attribute set can be applied to information retrieval, and basically discusses the realization of information retrieval based on this theory. finally the paper concludes that the necessary and sufficient condition that a document matches a query is that the document must contain all the conceptual bases that appear in the query and be consistent with the relationship among conceptual bases in query

    本論文從理性主義自然語言處理出發，根據概念依存理論和復雜特徵集提出了概念的動態特徵集表示方法，簡單的分析了利用合一運算構建動態特徵徵集的過程，提出了一種將概念特徵集應用於信息檢索的匹配理論，初步探討了基於該理論的信息檢索的實現，通過匹配過程的深入分析得出文檔與查詢語句相匹配的充要條件是文檔必須蘊含查詢語句所包含所有概念基並且必須與查詢語句中的概念基之間關聯關系相匹配的結論。
  18. 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。
  19. Certain aspects of language processing are described in this specification as implementation - defined or implementation - dependent

    語言處理的某些方面在本規范中描述為實現定義的或者依賴于實現的。
  20. Disambiguity and recognition of unknown words are most important points for design of word segmentation systems. in this paper, firstly, we introduce an applied strategy to disambiguity. then we put forward an integrated and fast recognition strategy of proper noun, including chinese person names, chinese place names, translated foreign names and corporation & organization names, in modern chinese word segmentation system, which successfully resolves the conflict among these proper nouns and ordinary words

    本文首先闡述了現代漢語通用分詞系統（ gpws ）中歧義切分技術和專名識別技術，在歧義切分技術中，提出了一種切分規則庫與基於歧義知識庫動態校正相結合的實用歧義處理策略；在專名識別技術中，本文提出了一種專名（包括譯名在內的人名、地名、企業字號、企業名和機構名等）一體化、快速識別方法。
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