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\documentclass{article}
%\usepackage{graphicx}
%\usepackage{bm}
\title{NLP Spell Checker Assignment 2012 - Write Up}
%Replace it by your names and roll nos
\author{Pradeep Kumar S, CS09B021\\
Sujeet Gholap, CS09B010
}
\date{1st October 2012}
\begin{document}
\maketitle
%\doublespacing
%Put here the basic sketch of the algorithm. It must contain the assumptions that you
%are making, if any, and the basic method of the algorithm.
\section{Algorithm Sketch}
\begin{enumerate}
\item Candidate word selection : Out of words within edit distance of two,
top K words are chosen based on weighted edit distance.
\item Candidate phrase generation : A simple cartesian product of all the
candidate words suggested for each word in the query make up the candidate
suggested phrase.
\item Prior for each candidate phrase : Microsoft N gram service results are
used as prior for each candidate phrase.
\item Likelihood for query given candidate : Assuming the probability
exponentially decreases as the number of edits required increases, likelihood
is calculated as $e^{-(weighted\ edit\ distance / length)}$
\end{enumerate}
%Put here the results on the sample cases provided. Both the expected average precision and
%recall. Also your observations on the results obtained.
\section{Results \& Observations}
%Put here the resources used along with the url if any of the resource used. If you want, you can attach a bibtex file along too.
\section{Resources Used}
\begin{enumerate}
\item Microsoft Web N-gram service : http://research.microsoft.com/en-us/collaboration/focus/cs/web-ngram.aspx
\item A Spelling Correction Program Based on Noisy Channel Model - Kernighan
et al : http://acl.ldc.upenn.edu/C/C90/C90-2036.pdf
\item A Data-Driven Approach for Correcting Search Queries - Gord Lueck :
http://web-ngram.research.microsoft.com/Spellerchallenge/Docs/Spelling\_Alteration\_Workshop.pdf
\end{enumerate}
%Put some additional information if you want to provide on the algorithm of the spell checker.
\section{Additional Notes}
\end{document}