類別詞 的英文怎麼說
中文拼音 [lèibiécí]
類別詞
英文
classifier-
This paper adopts the word class based segmentation probability model. this model classifies words into many word classes and brings these classes into a unified frame of probability model
文本採用了基於詞類的分詞概率模型,此模型把詞歸為若干類別並且把這些類別納入到一個統一的概率模型框架下。At the same time, because general hierarchical is not good on question classification, this paper proposes a new method for chinese question hierarchical classification. this method combines the key class features with the question syntactic features to classify questions. since this method extracts the syntax features and adds syntax information into question classification, at last, the precision of the coarse classes reaches 88. 25 % and fine classes reaches 73. 15 %, respectively improves nearly ten percent than the traditional hierarchy classification, proving this method is effective
本文針對文本分類和問題分類的差別,利用依存分析提取主幹和疑問詞及其附屬成分,並結合主幹關聯詞對,採用支持向量機分類器,此方法大大減少了問題分類的噪音,突出了問題分類的主要特徵,並考慮了詞與詞之間的句法關系,取得了良好效果;同時,針對普通層次分類在問題分類上效果不理想的情況,本文提出了類別主特徵結合句法特徵的中文問題層次分類新思想,利用句法分析提取分類特徵,在問題分類中融入了句法信息,總的準確率達到大類88 . 25 %和小類73 . 15 % ,比傳統的層次分類分別提高了10個百分點,證明了此方法的有效性。The study aims at comparing the use of " lexical phrases " among learners of different proficiency levels in order to gain insight into the relationship between language proficiency, fluency, idiomaticity and the use of lexical phrases
摘要本文通過對高級、中級和初級英語學習者口語樣本中詞匯短語使用頻率和使用類別的分析,試圖說明不同水平語言學習者詞匯短語使用與其口語流利度、語言地道性及其語言水平之間的關系。From internal classification, external limitation, grammatical functions and category meanings, the thesis expounds some specific grammatical function attributes of chinese onomatopoetic words, which should not be ignored
摘要本文從漢語擬聲詞的內部分類、外部界限、語法功能、類別意義等角度論述了它不容忽視的獨特的語法功能屬性,探討了擬聲詞的一些不大為人們注意的本質問題。After that, it discusses the proper nouns recognition algorithms designed for our proper nouns recognition system in detail : dividing all proper nouns into two categories, one category is named stable proper nouns, which contains the proper nouns that will exist in a long term and a wide spread ; and the other category is called unstable proper nouns, proper nouns in this category often derives new proper nouns frequently and can not be formed following particular rules, the mainly proper nouns in this category are chinese names
接著本文詳細討論了專有名詞識別系統所使用的識別演算法:首先將專有名詞分成了兩類:一類是穩定的專有名詞,此類名詞具有長時間和較大范圍存在的特點。另一類是容易變化的專有名詞,這類名詞新詞出現速度快,並且沒有明顯的規律可循,這類名詞主要就是中國人名。English nouns can be divided into four categories : masculine, feminine, common and neuter
英語名詞中四種不同類別的「性」 :陽性、陰性、通性和中性。Idioms are an important category of phraseology ; they continue and contain cultural legacies
摘要成語是固定詞組的重要類別之一,傳承過往,是文化寶藏。After clustering of the documents, in the process of retrieval, we make a comparison between the retrieval words the users point out and cluster center of the documents, and as a result, achieve a cluster that is most similar to retrieval words. through the calculation of both the selected documents and those retrieval words, thence the retrieval range will be reduced, the efficiency of retrieval be increased, and the retrieval deviation be overcome to a certain extent
對文檔進行了聚類,在檢索的期間,對用戶提出的檢索詞先進行和每一類的類心比較,得到與之最近的類別,僅將屬于該類別中的文檔與用戶提出的檢索詞進行運算,從而縮小了檢索的范圍,提高了檢索的效率,也在一定程度上克服了檢索結果的偏差。In modern chinese, classified word formation is a big advantage that has greatly increased the rate of gram reusing and lexis identification and thus has promoted chinese to be a concise and highly efficient language
摘要現代漢語根字屬性及其歸類構詞的基本規律,使得歸類構詞成為現代漢語的一大優勢,大大提高了漢字的復用率和漢語詞匯的識別率,使漢語成為一種「簡捷高效」的語言。Aiming at the intersecting words of descriptive adverbs and non - predicate adjectives, this article has an overall distributing explanation and an accurate frequency statistics for some representative members
摘要文章以實副詞和區別詞這兩類前加詞中的一百來個兼類詞作為考察的對象,通過選取一些典型成員加以全面的功能描寫和精確的用頻統計。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。The semantic category determines the slot relation model of the noun phrases
摘要名詞的語義類別決定了名詞短語的槽關系模型。A preliminary study on the corresponding relation between the semantic category of the noun and the slot relation model of noun phrases
名詞的語義類別與名詞短語的槽關系模型對應關系初探Based on the study of the slot relation, the paper has examined the corresponding relation of the model of the slot relation between the semantic category of the noun and the noun phrases, finding that if the noun with the identical semantic category, its slot relation model is identical as well and the noun with the different semantic category, its slot relation model is different, or diversed greatly from each other
在名詞槽關系研究的基礎上,對名詞的語義類別與名詞短語的槽關系模型的對應關系進行考察,發現語義類別相同的名詞,其槽關系模型也相同或基本相同,語義類別相異的名詞,其槽關系模型不同或相差很遠。Recognition of category words in the zhuang - dong language
壯侗語類別詞再認識It is a broad category embracing anything perceptible to the five senses including documents, exhibits, facts agreed to by both sides, and the testimony of witnesses
證據是一個很廣泛的類別,可以包括任何可被五官感覺到的東西,具體包括書證、物證、雙方同意的事實、證人證詞等。And all words in every set can be classified into two types. then according to the different types of the words, the words in every set are embedded into two watermark groups in a specific watermark embedding way, and their contents are associated with embedded watermarks. so during watermarking detection, the action that the attacker deliberately distorts or modifies the watermarking feature by extracting watermarks consciously or not can be found easily, and the text integrity detection performance can also be enhanced
按此思路,對全文2字元以上的單詞將它們分為3個集合(即3層)並將之作為水印嵌入對象,而每層的所有單詞又區分為2類,對每層的單詞按一種水印嵌入方式嵌入2組(次)水印,而對單詞嵌入水印信息的時候根據其類別的不同以不同方法嵌入,使水印的嵌入與單詞內容相關,以利於水印檢測時能夠發現某些情況下攻擊者有意或無意地保留水印而對文本內容進行刻意篡改或者直接修改水印特徵的行為,以增強文本完整性檢測的性能。Knowledge purification is the key procedure of knowledge acquisition, and machine learning is a effective method to gain wisdom for computers, among which artificial neural network with tutor coached can learn more accurate knowledge by faint structure, and then is a perfect way to deal with misty knowledge by describing and computing intangibly. lt is hard to describe or compute the misty relation of terms and document sort with accurate way. and we can figure out misty knowledge with misty way, so the paper introduces ann into vcm to form a conjoint method vcm ann
。其中,有導師指導的人工神經網路能夠以模糊的結構學習較為精確的內容,是將模糊的知識進行模糊計算和模糊描述的理想方法。詞條項與文檔類別之間的模糊關系難以用精確的方法進行精確地描述與計算,模糊的知識用模糊的方法能得到較好的解決,因此本文將神經網路應用到信息檢索模型中,將之與向量空間模型相結合,形成了一種改進的向量空間模型vcmann 。Among studies done in these areas, one model is chosen for this study : hoey ' s classification of types and functions of lexical repetition. this linguistic model and the theories from legal studies proposed by maley and bhatia ( certainty, precision and all - inclusiveness ) constitute the theoretical framework
本文以hp的理論模式為依據,結合bhati和mlcy對法律語篇的理論研究對中文和英文的法規中的詞匯復現0exica陳件tition )的類別,功能及其對上述特性的貢獻進行了考查。Words can not seperatively belong to the two categories of langue word and parole word
詞不能分屬語言詞和言語詞兩個類別分享友人