詞性標注 的英文怎麼說

中文拼音 [cíxìngbiāozhù]
詞性標注 英文
pos tagging
  • 詞 : 名詞1 （說話或詩歌、文章、戲劇中的語句） speech; statement; lines of play 2 （一種韻文形式 起於唐...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 注 : Ⅰ動詞1 （灌入） pour; irrigate 2 （集中） concentrate on; fix on; focus on 3 （用文字來解釋字句）...
  • 標注 : affix
  1. 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
  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. At first, the text is segmented to words and converted to a sequence of part - of - speech tags ; then based on the pos tags sequence parameters and phrase - break distance information from training, markov model is used to get the most likely phrase break sequence

    首先，文本進行分詞，並轉換為一列由詞性標記所組成的序列；然後使用馬爾可夫模型，利用人工標注數據庫訓練詞語連接處詞性標注序列的概率分佈和連接類型序列的距離信息，得到輸入的詞性標記序列對應的具有最大似然概率的連接類型序列，最後利用后處理規則進行適當的糾錯。
  4. We proposed a method based on bilexical co - occurrences to tag chinese text

    本文提出一種基於二元同現的漢語詞性標注模型。
  5. 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。
  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 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。
  7. 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。
  8. 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。
  9. 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。
  10. At last, the part of speech is tagged in sentences by utilizing viterbi algorithm

    最後，運用viterbi演算法以句子為單位進行詞性標注。
  11. 21 fu jianlian, chen qunxiu. topic analysis in the automatic summarization system

    中文句法分析的基礎是自動分詞詞性標注和命名實體識別。
  12. 3. segmentation, tagging, and function description of glossary of operation document processing were implemented. 4

    實現了基於本文詞典的文書處理的分詞、詞性標注和詞匯功能描述等。
  13. 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。
  14. 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。
  15. 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。
  16. The experimental results show the tagging accuracy and disambiguation accuracy are raised by using rule techniques and statistics techniques

    試驗測試結果標明規則和統計相結合的兼類詞處理機制可以有效地提高詞性排歧正確率和詞性標注正確率。
  17. 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。
  18. 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。
  19. 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。
  20. At present, more corpora of higher quality are required in the fields of machine translation ( mt ), information retrieval ( ir ), web text mining, etc. automatic stem segmentation and part of speech ( pos ) tagging are fundamental to the construction of tagged corpora

    目前，在機器翻譯、信息檢索、 web文本挖掘等許多領域對語料庫的使用越來越多，要求也越來越高。而自動詞干提取和詞性標注是建立標注語料庫的基礎性工作。
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