n-gram中文是什么意思

• 元语法模型即马尔可夫模型

• "n"中文翻译    N ＝nuclear 核的：N-waste 核废料。
• "gram"中文翻译    n. 克〔重量单位，略作 g.〕。
• "-gram" 中文翻译 :    -gram1 comb. f. 表示“克”： kilogram. -gram2 comb. f. 表示“书写物”，“字”： telegram.
• "gram" 中文翻译 :     gram1 n. 1.【植物；植物学】鹰嘴豆。 2.绿豆。 n. 克〔重量单位，略作 g.〕。
• "gram-force gram-weight" 中文翻译 :    克-力
• "gram-molecule; gram-mol" 中文翻译 :    克分子
• "bengal gram" 中文翻译 :    鹰嘴豆
• "black gram" 中文翻译 :    黑绿豆
• "cable gram" 中文翻译 :    海底电报。
• "data gram" 中文翻译 :    数据报
• "dental gram" 中文翻译 :    牙胚
• "echo gram" 中文翻译 :    音响测深图表
• "equivalent, gram" 中文翻译 :    克当量
• "gm gram" 中文翻译 :    克；公分
• "gram atom" 中文翻译 :    【化学】克原子。
• "gram bandu" 中文翻译 :    地方之友报
• "gram barta" 中文翻译 :    乡村新闻
• "gram blue" 中文翻译 :    棕灰蝶
• "gram calorie" 中文翻译 :    克卡〔热量单位〕。
• "gram centimeter" 中文翻译 :    克厘米
• "gram chickpea" 中文翻译 :    鹰嘴豆
• "gram complex" 中文翻译 :    革兰氏复合体
• "gram determinant" 中文翻译 :    格莱姆行列式
• "gram equivalent" 中文翻译 :    【化学】克当量。
• "gram force" 中文翻译 :    克力; 克重

• The means avoids the truncation effect of n - gram model and realizes vari - gram statistical model of concept extraction
  该方法的实现克服了n元算法的截断效应，实现了可变长的概念提取方法。
• In order to preprocess the text of aircraft fault , a new automatic indexing method based on n - gram is proposed . large quantities of experiments to adjust the parameters of lsi model are done so that the performance of case retrieval system is excellent
  本文以系统的检索性能为依据通过大量的实验确定了潜在语义索引模型所使用的权值方案、 k值、相似度阈值等参数。
• In relation to the clustering of searching results , we first generally introduced the background of document clustering . then , we put forward a method of n - gram based auto - clustering that is fit for real - time implementation and multi - language
  在对不同搜索引擎返回结果的自动分类上，我们先概括的介绍了文本分类的背景，然后提出一种基于n - gram自动分类方法，该方法的不但适合于在线实现而且还具有跨语种的特点。
• String frequent static , sub string reduction and several filtering method are used to analyze one set chinese new word mining system and identify new word by using character , word and n - gram dictionary based on statistic large - scale corpus
  摘要根据新词语的不同特征，提出了一整套自动检测新词语的方法，通过大规模地统计分析，分别建立字，词， n元组的词典，从中自动检测出新词语来，然后再根据构词规则时自动检测的结果进行进一步的过滤，最终抽取出语料中的新词语。
• Traditional coding algorithms are based on simple n - gram models . those distant constraints and some redundancies in natural language , such as word order redundancies , semantic redundancies and syntactic redundancies , are neglected in the n - gram models . in order to find and reduce those redundancies , we need more intelligent algorithms based on more effective models
  通用无损数据编码是数据压缩领域的一个重要的分支，现有的无损数据编码方法大多是基于n - gram模型的， n - gram模型忽略了自然语言中的远距离约束和诸如词序冗余、语义冗余、句法冗余等冗余，为了找出并减少这些冗余，需要更有效的语言模型和更智能的算法。
• Based on such shortcomings in studies on query by humming , we did some work as followed : in the module of building a melody database , reduced the data that needed to be calculated by extracting the repeating patterns in the songs , and proposed an improved repeating - pattern - tree ( rp - tree ) algorithm , with much better performance ; in the melody extraction module , firstly extracted the sequence of the pitches , then removed some wrong points and reduced the number of dimensions in sequence of pitches in some way after which a time series of pitches was generated ; in the melody matching module , analyzed four familiar errors that occur to the humming and the requirement to the search algorithm , by which we designed a retrieval method of dynamic time warping ( dtw ) algorithm based on n - gram index ; implemented a prototype system , and after doing the experiments , we got a top ten hit of 94 %
  本文针对以上哼唱音乐检索研究中的不足,进行了如下工作:在建立旋律库模块,通过提取乐曲的重复模式来减少旋律匹配的计算量,提出了重复模式树( repeating - pattern - tree , rp - tree )算法的改进算法,大幅度提高了重复模式提取算法的性能;在连续哼唱输入的旋律提取模块,采用了先提取基频轨迹,再对基频轨迹进行去除错误点以及降维操作的方法,生成了音高时间序列;在旋律匹配模块,分析了哼唱输入可能具有的四种常见错误以及对检索算法的要求,设计了基于n - gram索引的动态时间弯折( dynamictimewarping , dtw )检索算法;最终实现了一个哼唱检索的原型系统,通过实验,达到了94 %的前十名命中率。
• The problem of obtaining multiple candidate spellings in chinese speech recognition is studied in this paper . a method is proposed to choose multiple candidate spellings making use of linguistic knowledge and the candidate - selecting algorithm adopting n - gram model of spellings is deduced . this method shows very good performance in the experiments
  本文研究了汉语语音识别中的拼音多候选问题，提出了引入语言知识后的一种拼音多候选选择方法，并给出了采用n元拼音文法模型时的候选选择算法.实验表明，该方法取得了很好的效果

• n-gram en francais
• n-gram перевод