A morphological layer for the German part of the SMULTRON corpus. Layer was annotated according to the STTS tagset and the annotation guidelines of the Tiger corpus.
Coordinator: Thomas Müller
Annotators: Francesca Caratti, Arne Recknagel
This distribution contains a morphological layer for the SMULTRON corpus [0].
The annotation process is described in :
@InProceedings{mueller2015,
author = {M\"uller, Thomas and Sch\"utze, Hinrich},
title = {Robust Morphological Tagging with Word Representations},
booktitle = {Proceedings of NAACL},
year = {2015},
}
[0] http://www.cl.uzh.ch/research/parallelcorpora/paralleltreebanks/smultron_en.html
Web corpus of Czech, created in 2011. Contains newspapers+magazines, discussions, blogs. See http://www.lrec-conf.org/proceedings/lrec2012/summaries/120.html for details. and GA405/09/0278
English-Hindi parallel corpus collected from several sources. Tokenized and sentence-aligned. A part of the data is our patch for the Emille parallel corpus. and FP7-ICT-2007-3-231720 (EuroMatrix Plus) 7E09003 (Czech part of EM+)
This dataset adds annotation of multiword expressions and multiword named entities to the original PDT 2.0 data. The annotation is stand-off, stored in the same PML format as the original PDT 2.0 data. It is to be used together with the PDT 2.0. and grant 1ET201120505 of the Academy of Sciences of the Czech Republic and grant MSM0021620838 of the Ministry of Youth, Education and Sport of The Czech Republic
A small subset of PDT 2.0 made available under a permissive license.
Prague Dependency Treebank 2.0 (PDT 2.0) contains a large amount of Czech texts with complex and interlinked morphological (2 million words), syntactic (1.5 MW) and complex semantic annotation (0.8 MW); in addition, certain properties of sentence information structure and coreference relations are annotated at the semantic level.
PDT 2.0 is based on the long-standing Praguian linguistic tradition, adapted for the current Computational Linguistics research needs. The corpus itself uses the latest annotation technology. Software tools for corpus search, annotation and language analysis are included. Extensive documentation (in English) is provided as well. and * Ministry of Education of the Czech Republic projects No. VS96151, LN00A063, 1P05ME752, MSM0021620838 and LC536,
* Grant Agency of the Czech Republic grants Nos. 405/96/0198, 405/96/K214 and 405/03/0913,
* research funds of the Faculty of Mathematics and Physics,
* Charles University, Prague, Czech Republic,
* Grant Agency of the Czech Academy of Science, Prague, Czech Republic projects No. 1ET101120503, 1ET101120413, and 1ET201120505
* Grant Agency of the Charles University No. 489/04, 350/05, 352/05 and 375/05
* the U.S. NSF Grant #IIS9732388.
VPS-30-En is a small lexical resource that contains the following 30 English verbs: access, ally, arrive, breathe,
claim, cool, crush, cry, deny, enlarge, enlist, forge, furnish, hail, halt, part, plough, plug, pour, say, smash, smell, steer, submit, swell,
tell, throw, trouble, wake and yield. We have created and have been using VPS-30-En to explore the interannotator agreement potential
of the Corpus Pattern Analysis. VPS-30-En is a small snapshot of the Pattern Dictionary of English Verbs (Hanks and Pustejovsky,
2005), which we revised (both the entries and the annotated concordances) and enhanced with additional annotations. and This work has been partly supported by the Ministry of
Education of CR within the LINDAT-Clarin project
LM2010013, and by the Czech Science Foundation under
the projects P103/12/G084, P406/2010/0875 and
P401/10/0792.
Dictionaries with different representations for various languages. Representations include brown clusters of different sizes and morphological dictionaries extracted using different morphological analyzers. All representations cover the most frequent 250,000 word types on the Wikipedia version of the respective language.
Analzers used: MAGYARLANC (Hungarian, Zsibrita et al. (2013)), FREELING (English and Spanish, Padro and Stanilovsky (2012)), SMOR (German, Schmid et al. (2004)), an MA from Charles University (Czech, Hajic (2001)) and LATMOR (Latin, Springmann et al. (2014)).