Text in Afrikaans / Summaries in Afrikaans and English / In Afrikaans, soos in NederJands en Duits, word saamgestelde woorde aanmekaar geskryf. Nuwe
woorde word dus voortdurend geskep deur woorde aanmekaar te haak Dit bemoeilik die proses
van woordafkapping tydens teksprosessering, wat deesdae deur rekenaars gedoen word, aangesien
die verwysingsbron gedurig verander. Daar bestaan verskeie afkappingsalgoritmes en tegnieke, maar
die resultate is onbevredigend. Afrikaanse woorde met korrekte lettergreepverdeling is net die elektroniese
weergawe van die handwoordeboek van die Afrikaanse Taal (HAT) onttrek. 'n Neutrale
netwerk ( vorentoevoer-terugpropagering) is met sowat. 5 000 van hierdie woorde afgerig. Die neurale
netwerk is verfyn deur 'n gcskikte afrigtingsalgoritme en oorfragfunksie vir die probleem asook die
optimale aantal verborge lae en aantal neurone in elke laag te bepaal. Die neurale netwerk is met
5 000 nuwe woorde getoets en dit het 97,56% van moontlike posisies korrek as of geldige of ongeldige
afkappingsposisies geklassifiseer. Verder is 510 woorde uit tydskrifartikels met die neurale netwerk
getoets en 98,75% van moontlike posisies is korrek geklassifiseer. / In Afrikaans, like in Dutch and German, compound words are written as one word. New words are
therefore created by simply joining words. Word hyphenation during typesetting by computer is a
problem, because the source of reference changes all the time. Several algorithms and techniques
for hyphenation exist, but results are not satisfactory. Afrikaans words with correct syllabification
were extracted from the electronic version of the Handwoordeboek van die Afrikaans Taal (HAT).
A neural network (feedforward backpropagation) was trained with about 5 000 of these words. The
neural network was refined by heuristically finding a suitable training algorithm and transfer function
for the problem as well as determining the optimal number of layers and number of neurons in each
layer. The neural network was tested with 5 000 words not the training data. It classified 97,56% of
possible points in these words correctly as either valid or invalid hyphenation points. Furthermore,
510 words from articles in a magazine were tested with the neural network and 98,75% of possible
positions were classified correctly. / Computing / M.Sc. (Operasionele Navorsing)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/584 |
| Date | 09 1900 |
| Creators | Fick, Machteld |
| Contributors | Swanepoel, Carel Johannes |
| Source Sets | South African National ETD Portal |
| Language | Afrikaans |
| Detected Language | Unknown |
| Type | Dissertation |
| Format | 1 online resource (ii, 102 pages) |
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