Starved neural learning : Morpheme segmentation using low amounts of data
Automatic morpheme segmentation as a field has been dominated by unsupervised methods since its inception. Partly due to theoretical motivations, but also due to resource constraints. Given the success neural network methods have shown on a wide variety of field in later years, it would seem compell...
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| Format: | Others |
| Language: | English |
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Stockholms universitet, Avdelningen för datorlingvistik
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160953 |