626 citations · 720 across the 5 of their papers we have counts for
5 papers
Reduction of Maximum Entropy Models to Hidden Markov Models
Joshua Goodman
We show that maximum entropy (maxent) models can be modeled with certain kinds of HMMs, allowing us to construct maxent models with hidden variables, hidden state sequences, or oth…
Extended Comment on Language Trees and Zipping
Joshua Goodman
This is the extended version of a Comment submitted to Physical Review Letters. I first point out the inappropriateness of publishing a Letter unrelated to physics. Next, I give ex…
Classes for Fast Maximum Entropy Training
Joshua Goodman
Maximum entropy models are considered by many to be one of the most promising avenues of language modeling research. Unfortunately, long training times make maximum entropy researc…
A Bit of Progress in Language Modeling
Joshua Goodman
In the past several years, a number of different language modeling improvements over simple trigram models have been found, including caching, higher-order n-grams, skipping, inter…
An Empirical Study of Smoothing Techniques for Language Modeling
Stanley F. Chen, Joshua T. Goodman
We present an extensive empirical comparison of several smoothing techniques in the domain of language modeling, including those described by Jelinek and Mercer (1980), Katz (1987)…