---

XLingDocModel Class Reference

Doc representation for cross lingual retrieval model. More...

#include <XLingDocModel.hpp>

Inheritance diagram for XLingDocModel:

List of all members.

Public Methods
	XLingDocModel (DOCID_T docID, const Index *ind, double l, double nt, bool sM=false)
	Constructor taking optional parameters for smoothing.
	~XLingDocModel ()
virtual double	termWeight (TERMID_T termID, const DocInfo *info) const
	Computes term weight for a given term.
virtual double	scoreConstant () const
Protected Attributes
const Index *	refIndex
	Index for the collection.
double	numTerms
	denominator (number of terms) for background model probability estimate.
double	lambda
	smoothing coefficient
bool	docBasedSmooth
	Use term frequency (tf/|V|) when false, use term doc frequency (docCount(t)/Sum_w_in_V(docCount(w))) when true for the background model.

---

Detailed Description

Doc representation for cross lingual retrieval model.

---

Constructor & Destructor Documentation

XLingDocModel::XLingDocModel (  DOCID_T    docID, const Index *    ind, double    l, double    nt, bool    sM = false )  [inline]

Constructor taking optional parameters for smoothing. Parameters: docID  internal document id for this document. ind  pointer to Index for the document. l  lambda value to use for smoothing term weights. nt  |V| (sM false) or docCount(t)/Sum_w_in_V(docCount(w)) (sM true) sM  whether to use term frequency (tf/|V|) or term doc frequency (docCount(t)/Sum_w_in_V(docCount(w))) for the background model. Default is term frequency.

XLingDocModel::~XLingDocModel (    )  [inline]

---

Member Function Documentation

virtual double XLingDocModel::scoreConstant (    )  const [inline, virtual]

Unused. Returns: lambda Implements DocumentRep.

virtual double XLingDocModel::termWeight (  TERMID_T    termID, const DocInfo *    info )  const [inline, virtual]

Computes term weight for a given term. Parameters: termID  the term info  the DocInfo for this document Returns: the smoothed term weight for the term using lambda*(dtf/|D|) + (1-lambda)*P(t|C) where P(t|C) is either term frequency (tf/|V|) or term doc frequency (docCount(t)/Sum_w_in_V(docCount(w))). Implements DocumentRep.

---

Member Data Documentation

bool XLingDocModel::docBasedSmooth [protected]

Use term frequency (tf/|V|) when false, use term doc frequency (docCount(t)/Sum_w_in_V(docCount(w))) when true for the background model.

double XLingDocModel::lambda [protected]

smoothing coefficient

double XLingDocModel::numTerms [protected]

denominator (number of terms) for background model probability estimate.

const Index* XLingDocModel::refIndex [protected]

Index for the collection.

---

The documentation for this class was generated from the following file:

• XLingDocModel.hpp

---