| 1 |
Joint learning of morphology and syntax with cross-level contextual information flow
|
|
|
|
In: 2022 ; 1 ; 33 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Developing Core Technologies for Resource-Scarce Nguni Languages
|
|
|
|
In: Information; Volume 12; Issue 12; Pages: 520 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Slovak MorphoDiTa Models 170914
|
|
Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Improvement of Misleading and Fake News Classification for Flective Languages by Morphological Group Analysis
|
|
|
|
In: Informatics ; Volume 7 ; Issue 1 (2020)
|
|
Abstract:
Due to the constantly evolving social media and different types of sources of information, we are facing different fake news and different types of misinformation. Currently, we are working on a project to identify applicable methods for identifying fake news for floating language types. We explored different approaches to detect fake news in the presented research, which are based on morphological analysis. This is one of the basic components of natural language processing. The aim of the article is to find out whether it is possible to improve the methods of dataset preparation based on morphological analysis. We collected our own and unique dataset, which consisted of articles from verified publishers and articles from news portals that are known as the publishers of fake and misleading news. Articles were in the Slovak language, which belongs to the floating types of languages. We explored different approaches in this article to the dataset preparation based on morphological analysis. The prepared datasets were the input data for creating the classifier of fake and real news. We selected decision trees for classification. The evaluation of the success of two different methods of preparation was carried out because of the success of the created classifier. We found a suitable dataset pre-processing technique by morphological group analysis. This technique could be used for improving fake news classification.
|
|
Keyword:
fake news identification; morphological analysis; natural language processing; Part of speech tagging; text mining
|
|
URL: https://doi.org/10.3390/informatics7010004
|
|
BASE
|
|
Hide details
|
|
|
| 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)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
К задаче автоматической лексико-грамматической разметки старорусского корпуса XV-XVII вв
|
|
|
|
BASE
|
|
Show details
|
|
|
| 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
|
|
BASE
|
|
Show details
|
|
|
| 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
|
|
BASE
|
|
Show details
|
|
|
| 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)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
A morphological layer for the German part of the SMULTRON corpus
|
|
|
|
BASE
|
|
Show details
|
|
|
| 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
|
|
BASE
|
|
Show details
|
|
|
| 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
|
|
BASE
|
|
Show details
|
|
|
| 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
|
|
BASE
|
|
Show details
|
|
|
| 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)
|
|
BASE
|
|
Show details
|
|
|
| 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)
|
|
BASE
|
|
Show details
|
|
|
| 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)
|
|
BASE
|
|
Show details
|
|
|
| 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)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
A Rule-Based Morphological Disambiguator for Turkish”, in
|
|
|
|
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/ranlp2007_morph.pdf (2007)
|
|
BASE
|
|
Show details
|
|
|
|
|
