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Modelos ocultos de Markov para el etiquetado de texto
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tobeña, Antonio Crespí |
| Copyright Year | 2018 |
| Abstract | We present an implementation of a Hidden Markov Model for part-of-speech tagging and test different training corpora and parameters to see how its behaviour is affected. In particular, we test different approaches of dealing with unknown words, different corpus sizes and different corpus categories to study how an optimal model has to be trained for a specific task. Palabras clave: Part-of-speech tagging, Hidden Markov Models |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://dspace.uib.es/xmlui/bitstream/handle/11201/150347/tfm_2018-19_MADM_act613_2116.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |