Francisco Costa

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This paper proposes a design strategy for deep language processing grammars to appropriately handle language variants. It allows a grammar to be restricted as to what language variant it is tuned to, but also to detect the variant a given input pertains to. This is evaluated and compared to results obtained with an alternative strategy by which the relevant(More)
In this paper we present LXGram, a general purpose grammar for the deep linguistic processing of Portuguese that aims at delivering detailed and high precision meaning representations. LXGram is grounded on the linguistic framework of Head-Driven Phrase Structure Grammar (HPSG). HPSG is a declarative formalism resorting to unification and a type system with(More)
  • João Ricardo, Martins Ferreira, Da Silva, Catarina Carolina, Clara, Cláudia +16 others
  • 2014
Deep grammars handle with precision complex grammatical phenomena and are able to provide a semantic representation of their input sentences in some logic form amenable to computational processing, making such grammars desirable for advanced Natural Language Processing tasks. The robustness of these grammars still has room to be improved. If any of the(More)
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