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Neural networks as possible hyphenation technique for Afrikaans

Domaine:

natural language processing

Type de record:

paper
Créateur:
Mac
Éditeur:
Med
Hôte:
In Afrikaans compound words are written as one word. New words are therefore created by simply joining words. Word hyphenation during typesetting by computer is often a problem, because the source of reference changes all the time. A neural network (feedforward backpropagation) was trained with about 5 000 Afrikaans words with correct syllabification. The neural network classified 97,56% of possible points in 5 000 randomly chosen words correctly as either valid or invalid hyphenation points. In a test with 510 words from an Afrikaans magazine the neural network classified 98,75% of possible positions correctly. We came to the conclusion that neural networks can be used successfully as hyphenation technique for Afrikaans.

Visit

doi.org

Tasks

text normalization

Languages

Afrikaans

Licenses

https://creativecommons.org/licenses/by/4.0