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 words to classes based on the frequency of their co-occurrence with other words. We
find that we are able to extract classes that have the flavor of either syntactically based groupings
or semantically based groupings, depending on the nature of the underlying statistics.
n algorithm for domain independent linear text segmentation
This the Windows version of the C99 algorithm that was presented in my
NAACL00 paper.
[Directories]
bin contains executables, JAR file and test files
classes compiled code as individual class files
doc NAACL 00 paper describing the algorithm
src source code for C
Perl and XML
XML is a text-based markup language that has taken the programming world by storm. More
powerful than HTML yet less demanding than SGML, XML has proven itself to be flexible and
resilient. XML is the perfect tool for formatting documents with even the smallest bit of
complexity, from Web pages to legal contracts to books. However, XML has also proven itself to
be indispensable for organizing and conveying other sorts of data as well, thus its central role
in web services like SOAP and XML-RPC.
As the Perl programming language was tailor-
This text introduces the spirit and theory of hacking as well as the science behind it all it also provides some core techniques and tricks of hacking so you can think like a hacker, write your own hacks or thwart potential system attacks.
我記得好像的關于緩沖區溢出的
