tagging method 中文意思是什麼

tagging method 解釋
標記法
  • tagging : 標記
  • method : n 1 方法,方式;順序。2 (思想、言談上的)條理,規律,秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. The method based on statistics has the problem of training data ' s rarefaction, and what restricts the more progress of corpus is the too large workload of manual tagging

    基於統計的漢語自動分詞方法存在訓練數據稀疏的問題,而人工標注工作量過大又制約著語料庫規模的進一步擴大。
  2. 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。
  3. 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。
  4. We design a new algorithm for chinese phrase segmention by tagging the lexicon with useful words and useless words and building two levels index for chinese thesaurus on the base of doctor chen guilin ' s method, whose time complexity is superior to that of the current algorithms

    針對這一現狀,本文在陳桂林博士的分詞方法基礎上,設計和實現了一種快速分詞演算法。該方法將常用靜態詞典分為停用詞和非停用詞兩類詞,在建立詞典時,將是否停用詞作為詞的一個特性。
  5. The uyghur pos tagging is studied by applying the probabilistic method and the unigram hidden markov model ( hmm ) is adopted

    本文採用了一階隱馬爾可夫模型,並且通過rft相對概率訓練獲得了模型參數。
  6. Based on 6. 4 million chars of chinese ancient poetry, the computer aided research system of chinese ancient poems provides a word - based analysis platform of chinese ancient poems. more than 50000 chinese words, including 40814 multi - char words, were extracted from the corpora via statistic method. besides the full text retrieving function, the system also provide word - based statistic analysis, sentence based similarity retrieving, automatic pinyin tagging and some other useful functions to benefit the profound analysis of the chinese ancient poems. the national social science foundation of china 1998 - 1999 funded the project

    在對詩文進行詞語切分的基礎上,建立了詞匯的共現關系對仗關系以及詞匯的作者分佈特徵信息。系統除了提供面向詩文內容的全文檢索功能外,還進一步開發了基於詞匯的統計分析和詩句相似性檢索等功能,實現了對全唐詩的自動注音。
  7. If you are faced with implementing crosscutting concerns and you aren t able to follow the above guidelines, use an aspect - oriented solution anyway, even if it means " tagging " each method that needs an advice

    如果正在實現橫切關注點,並且不能遵循上面的準則,那麼也可以使用面向方面的解決方案,即使這意味著「標記」每一個需要一個通知的方法。
  8. The unigram hmm based on the probabilistic method and viterbi algorithm are proved effective in solving the problem of uyghur pos tagging effectively

    實驗證明,基於概率統計的一階隱馬爾可夫模型以及viterbi演算法能有效的解決維吾爾語詞性標注的問題。
  9. 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。
  10. To solve the problem of unknown word identification, this paper adopts roles based tagging method. this method can make full use of the context information and transform the problem of unknown word identification to the problem of role sequence tagging

    對于未登錄詞識別,文本採用了基於角色標注的未登錄詞識別方法,這種方法能充分利用未登錄詞的上下文信息並把未登錄詞識別的問題轉化為角色序列的標注問題。
  11. It references the international methods about the auto - classifying and tagging verb subcategories, and analyses the internal research situation about some related fields, and investigates some resources, such as the subcategory system, the part - of - speech tagging method and corpus etc. it proposes a statistics integrated rules tagging model for part - of - speech subcategory and introduces vocabulary vsm and fuzzy set theory into this field

    本文參考了國際上關于動詞自動分類和標注的研究方法,分析了國內相關領域關于詞性細分類標注研究的分類體系、詞性標注方法,以及語料庫資源等研究狀況,提出了一種統計與規則相結合的詞性細分類標注模型,並且把詞匯向量空間模型以及模糊集的方法引入詞性細分類自動標注領域。
  12. After words - cutting and word - tagging with maximum matching method, lexical analysis module check syncopate ambiguity, and disambiguate ambiguity of intersection with right - first rule

    先對查詢語句自動分詞和詞性標注,本文採用最大正向匹配演算法,對每個分詞結果進行尾部歧義檢查,對最主要的交集型歧義採用歸右原則處理。
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