英語句子自然語言處理統(tǒng)計(jì)分析例子 Statistical parsing of English Sentences Shows how to generate parse trees for English language Sentences using a C# port of OpenNLP, a statistical natural language parsing library.
標(biāo)簽： Statistical Sentences generate English
上傳時(shí)間： 2015-04-18
上傳用戶：fxf126@126.com
珍藏論文：面向雙語句對(duì)檢索的漢語句子相似度計(jì)算Chinese Sentences Similarity
標(biāo)簽： Similarity Sentences Chinese 論文
上傳時(shí)間： 2014-01-18
上傳用戶：youlongjian0
This book contains a detailed analysis of the International Standard for the C language,-3.1 excluding the library from a number of perspectives. The organization of the material is unusual in that it is based on the actual text of the published C Standard. The unit of discussion is the individual Sentences from the C Standard (2022 of them). Readers are assumed to have more than a passing familiarity with C.
標(biāo)簽： International the Standard analysis
上傳時(shí)間： 2015-09-15
上傳用戶：13188549192
SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural language parsing) specify the sentence along with the correct parse tree. The goal is to predict the parse tree of new Sentences.
標(biāo)簽： examples e.g. weighted Training
上傳時(shí)間： 2014-07-26
上傳用戶：zsjzc
SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new Sentences.
標(biāo)簽： examples e.g. part-of-speech Training
上傳時(shí)間： 2015-12-05
上傳用戶：gyq
an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two Sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
標(biāo)簽： similarity capturing concerned syntactic
上傳時(shí)間： 2014-01-05
上傳用戶：wmwai1314
In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two Sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
標(biāo)簽： similarity presented capturing previous
上傳時(shí)間： 2013-12-13
上傳用戶：wcl168881111111
CRFsuite is a very fast implmentation of the Conditional Random Fields (CRF) algorithm. It handles tens of thousands Sentences in merely one second. In comparison to CRF++, CRFSuite yields substantially better efficiency performance
標(biāo)簽： implmentation Conditional algorithm CRFsuite
上傳時(shí)間： 2013-12-19
上傳用戶：gououo
Calculates if the brackets in a sentence are correctly close. Input consists, one per line, Sentences with brackets, and output say YES if its correctly close, or NO int if its not saying where is the error. Input: ()[]<>(**) (*) (ASA Output: YES NO 2 NO 4
標(biāo)簽： Calculates correctly brackets consists
上傳時(shí)間： 2013-12-13
上傳用戶：aig85
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