A bayesian interpretation of interpolated kneserney

A bayesian interpretation of interpolated kneserney (2006)

by Yee Whye Teh

Citations:

8 - 2 self

Datum	Value	Source
TITLE	A bayesian interpretation of interpolated kneserney	INFERENCE
AUTHOR NAME	Yee Whye Teh	SVM HeaderParse 0.2
AUTHOR AFFIL	School of Computing,; National University of Singapore,	SVM HeaderParse 0.2
AUTHOR ADDR	3 Science Drive 2, Singapore 117543.	SVM HeaderParse 0.2
ABSTRACT	Interpolated Kneser-Ney is one of the best smoothing methods for n-gram language models. Previous explanations for its superiority have been based on intuitive and empirical justifications of specific properties of the method. We propose a novel interpretation of interpolated Kneser-Ney as approximate inference in a hierarchical Bayesian model consisting of Pitman-Yor processes. As opposed to past explanations, our interpretation can recover exactly the formulation of interpolated Kneser-Ney, and performs better than interpolated Kneser-Ney when a better inference procedure is used. 1	SVM HeaderParse 0.2
YEAR	2006	INFERENCE
VENUE TYPE	TECHREPORT	INFERENCE
TECH	Technical report	INFERENCE
CITATIONS	33 found	ParsCit 1.0