part-of-speech tagging 中文意思是什麼

part-of-speech tagging 解釋
詞類標識
  • part : n 1 部分,一部分;局部 (opp Whole)。 ★此義常省去不定冠詞。 如: a great part of one s money I l...
  • of : OF =Old French 古法語。
  • speech : n. 1. 言語;說話;談話;說話能力(或方式)。2. 民族語言,方言,專門語言;〈罕用語〉流言。3. 演說,演講;發言。4. 【語言學】詞(類);引語;用語。5. (樂器的)音,音色。
  • tagging : 標記
  1. Block and memory based part of speech tagging

    基於組塊及記憶的詞性自動標注
  2. Improved transformation based part of speech tagging of latin mongolian

    改進的基於轉換方法的拉丁蒙文詞性標注
  3. To solve the problem of rule learning time cost for traditional transformation based part of speech tagging method of latin mongolian, a dynamic partition algorithm was presented

    針對傳統基於轉換的詞性標注方法中規則學習速度過慢的問題提出了一種對訓練語料庫進行動態劃分的演算法。
  4. Part - of - speech tagging is a difficult task in nlp

    詞性標注是自然漢語處理中的一個難點。
  5. In addition to word segmentation and part - of - speech tagging, the processing involves the tagging of proper nouns ( person names, place names, organization names arid so on ), morpheme subcategories and the special usages of verbs and adjectives

    加工項目除詞語切分和詞性標注外,還包括專有名詞(人名、地名、團體機構名稱等)標注、語素子類標注以及動詞、形容詞的特殊用法標注。
  6. In addition to word segmentation and part - of - speech tagging, the processing involves the tagging of proper nouns ( person names, place names, organization names and so on ), morpheme subcategories and the special usages of verbs and adjectives

    加工項目除詞語切分和詞性標注外,還包括專有名詞(人名、地名、團體機構名稱等)標注、語素子類標注以及動詞、形容詞的特殊用法標注。
  7. 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。
  8. The former includes chinese word segmentation, part - of - speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc

    前者涉及到詞法、句法、語義分析,包括漢語分詞、詞性標注、注音、命名實體識別、新詞發現、句法分析、詞義消歧等。
  9. Aiming at this question, the paper describes an approach to correcting the part - of - speech tagging of multi - category words automatically

    針對這一難點問題,本文提出了一種兼類詞詞性標注的自動校對方法。
  10. Part of speech tagging, as part of syntactic tagging, is to mark each word ' s part of speech in < br > a sentence, according to its definition and context

    詞性標注是根據詞義及其上下文信息,標注出其在句中所屬詞類的過程,屬于句法范疇的標注。
  11. Verb subdivision is similar to part of speech tagging. it subdivides verbs into more detailed classes based on the result of part of speech tagging

    動詞細分類和詞性標注有些類似,它是在詞性標注基礎上對其中的動詞進行更細致的類別標注。
  12. There is usually a change in the word form when a word changes its part - of - speech in english. but there is no change in the word form in chinese. so part - of - speech tagging is more difficult in chinese than in english

    在英語中,當一個詞變換詞性時往往伴隨著詞型上的變化,而在漢語中則沒有詞型上的變化,這就增加了漢語詞性標注的難度。
  13. It was composed of three main modules, they were word segmentation module based on the maximum word - length matching algorithm, part of speech tagging module based on statistical method of training of relative frequency, and the syntax parsing module based on the improved chart analysis algorithm

    該系統實現了基於最大詞長匹配演算法的分詞模塊、基於統計方法的詞性標注模塊和基於改進的線圖分析演算法的句法分析模塊。
  14. Part of speech tagging and verb subdivision can provide richer grammatical information for upper level application. for example, parser can utilize the information of part of speech to distingulish the syntactical relationships of different types

    詞性標注和動詞細分類可以為上層應用提供更豐富的語法信息,例如句法分析可以利用這些詞性信息進行句法關系的識別。
  15. The algorithm is applied to automatic correction of chinese part - of - speech tagging, and experimental results show that reducts with better prediction potential are obtained by using appropriate setting of the weight vector

    實驗結果表明,使用所提出的演算法及相應權值向量,可獲得更有利於預測的約簡。
  16. In this paper, we study the method of the part - of - speech tagging and analyze the rule method and the statistics method

    本文對詞性標注的方法進行了研究,分析了基於規則的方法和基於統計的方法的優缺點。
  17. The disambiguation of multi - category words is one of the difficulties in part - of - speech tagging of chinese text, which affects the processing quality of corpora greatly

    摘要兼類詞的詞類排歧是漢語語料詞性標注中的難點問題,它嚴重影響語料的詞性標注質量。
  18. 2. it discusses and analyzes the actuality of chinese part - of - speech tagging, and describes an approach to correcting the chinese part - of - speech tagging automatically

    討論和分析了詞性標注的現狀,並針對詞性標注問題,提出了一種基於粗糙集的兼類詞詞性標注校對規則的自動獲取方法。
  19. According to the results of close - test and open - test on the corpus of 500, 000 chinese characters, the accuracy of multi - category words ' part - of - speech tagging can be increased by 11. 32 % and 5. 97 % respectively

    分別對50萬漢語語料做封閉測試和開放測試,結果顯示,校對后語料的兼類詞詞性標注正確率分別可提高11 . 32 %和5 . 97 % 。
  20. 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。
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