Two decades of statistical language modeling: where do we go from here?
Year: 2000
Type: article
Abstract: Statistical language models estimate the distribution of various natural language phenomena for the purpose of speech recognition and other language technologies. Since the first significant model was proposed in 1980, many attempts have been made to improve the state of the art. We review them, point to a few promising directions, and argue for a Bayesian approach to integration of linguistic theories with data.
Source: Proceedings of the IEEE
DOI: 10.1109/5.880083
Author: R. Rosenfeld
Institution: Carnegie Mellon University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2100506586