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1
Joint learning of morphology and syntax with cross-level contextual information flow
In: 2022 ; 1 ; 33 (2022)
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2
Developing Core Technologies for Resource-Scarce Nguni Languages
In: Information; Volume 12; Issue 12; Pages: 520 (2021)
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3
Slovak MorphoDiTa Models 170914
Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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4
Improvement of Misleading and Fake News Classification for Flective Languages by Morphological Group Analysis
In: Informatics ; Volume 7 ; Issue 1 (2020)
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5
Text Alignment in Ancient Greek and Georgian: A Case-Study on the First Homily of Gregory of Nazianzus
In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-01294591 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2018, Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages (2018)
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6
Freeling IT
Rubino, Francesco. - : Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR), 2017
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7
К задаче автоматической лексико-грамматической разметки старорусского корпуса XV-XVII вв
ГАВРИЛОВА ТАТЬЯНА СЕРГЕЕВНА; ШАЛГАНОВА ТАТЬЯНА АЛЕКСАНДРОВНА; ЛЯШЕВСКАЯ ОЛЬГА НИКОЛАЕВНА. - : Негосударственное образовательное учреждение высшего профессионального образования «Православный Свято-Тихоновский гуманитарный университет», 2016
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8
Czech Models (MorfFlex CZ 160310 + PDT 3.0) for MorphoDiTa 160310
Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016
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9
Czech Models (MorfFlex CZ 161115 + PDT 3.0) for MorphoDiTa 161115
Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016
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10
Treatments for Preclassic French parsing ; Traitements pour l'analyse du français préclassique
In: TALN ; https://halshs.archives-ouvertes.fr/halshs-01249914 ; TALN, Jun 2015, CAEN, France. Actes de TALN 2015 ; https://taln2015.greyc.fr/ (2015)
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11
A morphological layer for the German part of the SMULTRON corpus
Müller, Thomas; Schütze, Hinrich; Caratti, Francesca. - : Center for Information and Language Processing, University of Munich, 2015
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12
Word representations for multiple languages
Müller, Thomas; Schütze, Hinrich. - : Center for Information and Language Processing, University of Munich, 2015
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13
English Models (Morphium + WSJ) for MorphoDiTa
Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
Abstract: English models for MorphoDiTa, providing morphological analysis, morphological generation and part-of-speech tagging. The morphological dictionary is created from Morphium and SCOWL (Spell Checker Oriented Word Lists), the PoS tagger is trained on WSJ (Wall Street Journal). ; This work has been using language resources developed and/or stored and/or distributed by the LINDAT/CLARIN project of the Ministry of Education of the Czech Republic (project LM2010013). The morphological POS analyzer development was supported by grant of the Ministry of Education, Youth and Sports of the Czech Republic No. LC536 "Center for Computational Linguistics". The morphological POS analyzer research was performed by Johanka Spoustová (Spoustová 2008; the Treex::Tool::EnglishMorpho::Analysis Perl module). The lemmatizer was implemented by Martin Popel (Popel 2009; the Treex::Tool::EnglishMorpho::Lemmatizer Perl module). The lemmatizer is based on morpha, which was released under LGPL licence as a part of RASP system (http://ilexir.co.uk/applications/rasp). The tagger algorithm and feature set research was supported by the projects MSM0021620838 and LC536 of Ministry of Education, Youth and Sports of the Czech Republic, GA405/09/0278 of the Grant Agency of the Czech Republic and 1ET101120503 of Academy of Sciences of the Czech Republic. The research was performed by Drahomíra "johanka" Spoustová, Jan Hajič, Jan Raab and Miroslav Spousta.
Keyword: English; English language; MorphoDiTa; morphological analysis; morphological generation; PoS tagging
URL: http://hdl.handle.net/11858/00-097C-0000-0023-68D9-0
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14
Czech Models (MorfFlex CZ + PDT) for MorphoDiTa
Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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15
MorphoDiTa: Morphological Dictionary and Tagger
Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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16
Tagging a Morphologically Complex Language Using an Averaged Perceptron Tagger: The Case of Icelandic
In: http://emmtee.net/oe/nodalida13/conference/4.pdf (2013)
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17
Improving Part-of-Speech Tagging Accuracy for Croatian by Morphological Analysis
In: http://www.informatica.si/PDF/33-2/17_Agic%20-%20Improving%20Part-of-Speech%20Tagging%20Accuracy%20for%20.pdf (2008)
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18
Improving Part-of-Speech Tagging Accuracy for Croatian by Morphological Analysis
In: http://www.informatica.si/PDF/32-4/25_Agic%20-%20Improving%20Part-of-Speech%20Tagging%20Accuracy.pdf (2008)
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19
Morphological Ending – based Strategies of Unknown Word Estimation for Statistical POS Urdu Tagger
In: http://bit.kuas.edu.tw/~ijcses/v1/n3/v1-3-4.pdf (2007)
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20
A Rule-Based Morphological Disambiguator for Turkish”, in
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/ranlp2007_morph.pdf (2007)
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