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.
Bibliographic reference. Dermatas, E. / Kokkinakis, George (1989): "A system for automatic text labelling", In EUROSPEECH-1989, 1382-1385.