Tagging English Text with a Probabilistic Model

In this paper we present some experiments on the use of a probabilistic model to tag English text, i.e. to assign to each word the correct tag (part of speech) in the context of the sentence. The main novelty of these experiments is the use of untagged text in the training of the model. We have used a simple triclass Markov model and are looking for the… (More)

7 Figures & Tables

Topics

Statistics

02040'94'97'00'03'06'09'12'15'18
Citations per Year

677 Citations

Semantic Scholar estimates that this publication has 677 citations based on the available data.

See our FAQ for additional information.