期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Performance Analysis of Optimized Content Extraction for Cyrillic Mongolian Learning Text Materials in the Database
1
作者 Bat-Erdene Nyandag Ru Li G. Indruska 《Journal of Computer and Communications》 2016年第10期79-89,共12页
This paper had developed and tested optimized content extraction algorithm using NLP method, TFIDF method for word of weight, VSM for information search, cosine method for similar quality calculation from learning doc... This paper had developed and tested optimized content extraction algorithm using NLP method, TFIDF method for word of weight, VSM for information search, cosine method for similar quality calculation from learning document at the distance learning system database. This test covered following things: 1) to parse word structure at the distance learning system database documents and Cyrillic Mongolian language documents at the section, to form new documents by algorithm for identifying word stem;2) to test optimized content extraction from text material based on e-test results (key word, correct answer, base form with affix and new form formed by word stem without affix) at distance learning system, also to search key word by automatically selecting using word extraction algorithm;3) to test Boolean and probabilistic retrieval method through extended vector space retrieval method. This chapter covers: to process document content extraction retrieval algorithm, to propose recommendations query through word stem, not depending on word position based on Cyrillic Mongolian language documents distinction. 展开更多
关键词 Cyrillic mongolian language Content Extraction Formatting Learning Text Materials Style
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部