This paper presents a system for automatic labelling of natural language texts according to a more or less detailed system of linguistic categories (grammatical, syntactical, etc.). A Markovian model is used to predict the label of each word of the unknown text. Several assumptions and restrictions improve the computational efficiency with a small decrease of the performance of the system. This has been measured by labelling 120.000 words of Greek newspaper texts with grammatical labels and proved to be satisfactory.
Cite as: Dermatas, E., Kokkinakis, G. (1989) A system for automatic text labelling. Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989), 1382-1385, doi: 10.21437/Eurospeech.1989-112
@inproceedings{dermatas89b_eurospeech,
author={E. Dermatas and George Kokkinakis},
title={{A system for automatic text labelling}},
year=1989,
booktitle={Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989)},
pages={1382--1385},
doi={10.21437/Eurospeech.1989-112}
}