13 search results - page 1 / 3 » Lexical Attraction for Text Compression |
DCC
1999
IEEE
13 years 9 months ago
1999
IEEE
FLAIRS
2006
13 years 6 months ago
2006
Lexical Attraction Models (LAMs) were first introduced by Deniz Yuret in (Yuret 1998) to exemplify how an algorithm can learn word dependencies from raw text. His general thesis i...
ACL
1997
13 years 6 months ago
1997
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-...
DCC
2008
IEEE
14 years 4 months ago
2008
IEEE
Semistatic word-based byte-oriented compression codes are known to be attractive alternatives to compress natural language texts. With compression ratios around 30%, they allow di...
FINTAL
2006
13 years 8 months ago
2006
In this article, we are studying the differences between the European languages using statistical and unsupervised methods. The analysis is conducted in different levels of languag...