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Pavel Smerk
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2010 – 2019
- 2016
- [c18]Milos Jakubícek, Pavel Smerk:
Large Scale Keyword Extraction using a Finite State Backend. RASLAN 2016: 143-146 - 2015
- [c17]Pavel Smerk:
Semantic Regularity of Derivational Relations. RASLAN 2015: 87-92 - [c16]Karel Pala, Pavel Smerk
:
Derivancze - Derivational Analyzer of Czech. TSD 2015: 515-523 - 2014
- [c15]Pavel Smerk:
Tools for Fast Morphological Analysis Based on Finite State Automata. RASLAN 2014: 147-150 - 2013
- [c14]Milos Jakubícek, Pavel Rychlý, Pavel Smerk:
Fast Construction of a Word-Number Index for Large Data. RASLAN 2013: 63-67 - 2012
- [c13]Gulshan Dovudov, Vit Suchomel, Pavel Smerk:
Towards 100M Morphologically Annotated Corpus of Tajik. RASLAN 2012: 91-94 - 2011
- [c12]Milos Jakubícek, Vojtech Kovár, Pavel Smerk:
Czech Morphological Tagset Revisited. RASLAN 2011: 29-43 - [c11]Gulshan Dovudov, Jan Pomikálek, Vit Suchomel, Pavel Smerk:
Building a 50M Corpus of Tajik Language. RASLAN 2011: 89-95 - 2010
- [c10]Karel Pala, Pavel Rychlý
, Pavel Smerk
:
Automatic Identification of Legal Terms in Czech Law Texts. Semantic Processing of Legal Texts 2010: 83-94 - [c9]Pavel Smerk:
A New Data Format for Czech Morphological Analysis. RASLAN 2010: 3-8 - [c8]Tomás Capek, Pavel Smerk:
Towards Partial Word Sense Disambiguation Tools for Czech. RASLAN 2010: 103-108
2000 – 2009
- 2009
- [c7]Pavel Smerk:
Fast Morphological Analysis of Czech. RASLAN 2009: 13-16 - 2008
- [c6]Jan Kasprzak, Michal Brandejs, Miroslav Kripac, Pavel Smerk:
Distributed System for Discovering Similar Documents - From a Relational Database to the Custom-Developed Parallel Solution. ICEIS (1) 2008: 437-440 - [c5]Karel Pala, Lukás Svoboda, Pavel Smerk:
Czech MWE Database. LREC 2008 - [c4]Pavel Smerk:
Towards Czech Morphological Guesser. RASLAN 2008: 1-4 - 2007
- [c3]Karel Pala, Pavel Rychlý, Pavel Smerk:
Morphological Analysis of Law Texts. RASLAN 2007: 21-26 - [c2]Pavel Smerk:
Morphemic Analysis: A Dictionary Lookup Instead of Real Analysis. RASLAN 2007: 77-85 - 2004
- [c1]Pavel Smerk:
Unsupervised Learning of Rules for Morphological Disambiguation. TSD 2004: 211-216
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