Supertagging for a Statistical HPSG Parser for Spanish

Autor:	Luis Chiruzzo, Dina Wonsever
Rok vydání:	2015
Předmět:	Structure (mathematical logic) Head-driven phrase structure grammar Spanish language Parsing Computer science business.industry Verb computer.software_genre Linguistics Test set Artificial intelligence business computer Sentence Natural language processing
Zdroj:	Statistical Language and Speech Processing ISBN: 9783319257884 SLSP
DOI:	10.1007/978-3-319-25789-1_3
Popis:	We created a supertagger for the Spanish language aimed at disambiguating the HPSG lexical frames for the verbs in a sentence. The supertagger uses a CRF model and achieves an accuracy of 83.58i¾ź% for the verb classes on the test set. The tagset contains 92 verb classes, extracted from a Spanish HPSG-compatible annotated corpus that was created by automatically transforming the Ancora Spanish corpus. The verb tags include information about the arguments structure and syntactic categories of the arguments, so they can be easily translated into HPSG lexical entries.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9b3388d4d6829ac9d46e7e203f935b49 https://doi.org/10.1007/978-3-319-25789-1_3 Zobrazit plný text záznamu