搜索资源列表
mlct_public
- 这是一个基于Java的分词、N-gram统计、分段 、分句等功能的程序，支持多种语言-This is a Java-based segmentation, N-gram statistics, the sub-clause of the function procedures, multilingual support
mlct_public
- 这是一个基于Java的分词、N-gram统计、分段 、分句等功能的程序，支持多种语言-This is a Java-based segmentation, N-gram statistics, the sub-clause of the function procedures, multilingual support
CMU-Cam_Toolkit_v2
- 自然语言处理和语音识别中必须的语言模型工具，这个工具可以生成文本或者二进制格式的N-gram表。配合HTK使用效果会更好。-natural language processing, speech recognition and language model must tools, this tool can generate text or binary format of the N-gram table. With the use
Ngrams
- A C++ N-grams Package 2.0 This is a simple C++ n-grams package that includes a header, the corresponding cpp file, and a sample driver program. It is a natural language processing tool for creating n-gram profiles for
parre_srcs_17943
- a N-gram and Fast Pattern Extraction Algorithms~
wf1-2
- 可进行词频计算，自然语言处理或语音识别。N-gram待续-Frequency can be calculated, natural language processing or speech recognition. N-gram adjourned
3DTERRIN
- DEM的规则格网存储结构是一个二维点阵,由于其高度与宽度已知,因此可以用一个一维数组p[n]进行管理，设原点的平面位置为(0, 0),DEM的长度与宽度分别为s和t,则任意一点(i,j)的高程值为p[i×t+j]。规则格网的这种简明结构,事实上已经对DEM数据进行了很好的组织,因此将格网数据读入内存，而无需使用其它任何结构进行管理,直接对读入的DEM数据块进行处理，生成格网面。 利用bitmap将DEM位图中的数据读入到程序数组中，
difference3
- In this paper, we propose a method of text retrieval from document images using a similarity measure based on an N-Gram algorithm.
Class-based_n-gram_models_of_natural_language
- We address the problem of predicting a word from previous words in a sample of text. In particular, we discuss n-gram models based on classes of words. We also discuss several statistical algorithms for assigning wor
Language_model_learning_in_English
- state of art language modeling methods: An Empirical Study of Smoothing Techniques for Language Modeling.pdf BLEU, a Method for Automatic Evaluation of Machine Translation.pdf Class-based n-gram models of natural l
nqueenproblem
- This program finds the locations of placing n queens in a n*n chessboard so that none attack any other
minghua
- 世界名画陈列室由m*n个排列成矩形阵列的陈列室组成。为了防止名画被盗，需要在陈列室中设置警卫机器人哨位。每个警卫机器人除了监视它所在的陈列室外，还可以监视与它所在的陈列室相邻的上、下、左、右4个陈列室。试设计一个安排警卫机器人哨位的算法，使得名画陈列馆中每一个陈列室都在警卫机器人的监视下，且所有的警卫机器人数最少。-Gallery by the world famous painting of m* n rectangular arr
webcat
- 这是一个100 ％纯Java库，您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法， namelly 支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library
segment
- 基于n元语法的分词。先训练后，再通过前后向最大匹配初步分词，在通过2元语法来消岐。-Based on the n-gram sub-word. The first training and then through to the maximum matching before and after the initial word, in through a 2-gram to eliminate qi.
N-gram
- N-gram中文分词系统,通过前后项切分,计算概率,进而获得最佳的切分-N-gram Chinese segment,by FMM and RMM,we can Calculate the probabilities,then,we can get the best segment.
N-gram
- 在分析了传统的分类模型后 ,文中提出了用N元语言模型作为中文文本分类模型。根据该方法 ,设计并实现一个基于词的2元语言模型分类器。-After the review of traditional text classi fication models , a method using N2gram language models to classi fy Chinese text was presented. With the bi
analyze_ngrams.py.tar
- analyzes n-gram coverage. it takes a full n-grams list and an extracted n-grams list and reports the coverage
n-gram
- 用perl语言,通过n-gram算法,实现自然语言处理中的汉语切分问题-Perl language used by the n-gram algorithm, natural language processing problems of Chinese segmentation
N-Gram-LM
- 该程序基于Bi-Gram模型算法思想对一训练文本中的词汇建立语言模型，而后对测试文本中的语句进行预测出现概率-The program is based on Bi-Gram model algorithm ideas on a training text vocabulary build language model, and then the text of the statement of the test to predict t
N-gram
- N-gram的源码实现，详细介绍了n-gram模型的使用，即在自然语言处理中n元文法的作用-N-gram of source implementation, detailing the use of n-gram model in natural language processing that n-gram role