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user:zeman:treebanks:ro [2012/01/12 17:17]
zeman Sample.
user:zeman:treebanks:ro [2012/01/12 17:29] (current)
zeman Inside and parsing.
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 ==== Inside ==== ==== Inside ====
  
-The corpus contains texts from Portugal and BrazilThe texts were automatically parsed using the PALAVRAS parser (Bick 2000: Eckhard Bick. The Parsing System "Palavras": Automatic Grammatical Analysis of Portuguese in a Constraint Grammar Framework. Dr.phil. thesis. Aarhus University. AarhusDenmark: Aarhus University PressNovember 2000.) and revised by linguists (the Bosque partreferred herewas totally revised; the other parts of the Floresta sintáctica project were either partially or not at all revised).+Sentences have been segmented into clauses and there is a separate tree for each clauseThere are no punctuation nodes, punctuation has been removed. The text lacks diacritical marksi.e. the Romanian letters //ăâî, ş, ţ// have been replaced by //a, a, i, s, t// respectively.
  
-Morphological annotation includes lemmas. In the CoNLL versionthe original Floresta tags were converted to fit the ''CPOS''''POS'' and ''FEAT'' columns of the CoNLL formatUse [[http://quest.ms.mff.cuni.cz/cgi-bin/interset/index.pl?tagset=pt::conll|DZ Interset]] to inspect the CoNLL tagset. +There are part-of-speech tags but no lemmas and no morphological features (gendernumbercase etc.) The part-of-speech tags were probably assigned manuallyas well as the syntactic structure.
- +
-Multi-word expressions have been concatenated into one tokenusing underscore as the joining character (e.g. "7_e_Meio", "Hillary_Clinton").+
  
 ==== Sample ==== ==== Sample ====
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 ==== Parsing ==== ==== Parsing ====
  
-Bosque is a mildly nonprojective treebank. 2778 of the 212,545 tokens in the CoNLL 2006 version are attached nonprojectively (1.31%). +The corpus is projective.
- +
-The results of the CoNLL 2006 shared task are [[http://ilk.uvt.nl/conll/results.html|available online]]. They have been published in [[http://aclweb.org/anthology-new/W/W06/W06-2920.pdf|(Buchholz and Marsi, 2006)]]. The evaluation procedure was non-standard because it excluded punctuation tokens. These are the best results for Portuguese: +
- +
-^ Parser (Authors) ^ LAS ^ UAS ^ +
-| MST (McDonald et al.) | 86.82 | 91.36 | +
-| Malt (Nivre et al.) | 87.60 | 91.22 | +
-| Nara (Yuchang Cheng) | 85.07 | 90.30 |+
  
 +I am not aware of any published evaluation of parsing accuracy on this data.

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