| Autor: |
Vieira, Renata, Quaresma, Paulo, Nunes, Maria das Graças Volpe, Mamede, Nuno J., Oliveira, Cláudia, Dias, Maria Carmelita, Branco, António, Silva, João Ricardo |
| Zdroj: |
Computational Processing of the Portuguese Language; 2006, p244-247, 4p |
| Abstrakt: |
A widespread assumption about the analysis of inflection features is that this task is to be performed by a tagger with an extended tagset. This typically leads to a POS precision drop due to the data-sparseness problem. In this paper we tackle this problem by addressing inflection tagging as a dedicated task, separated from that of POS tagging. More specifically, this paper describes and evaluates a rule-based approach to the tagging of Gender, Number and Degree inflection of open nominal morphosyntactic categories. This approach achieves a better F-measure than the typical approach of inflection analysis via stochastic state-of-the-art tagging. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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