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TS of Humanities and Dig. Sciences
Tilburg University
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Profiles
(444)
Research output
(11905)
Activities
(3015)
Projects
(174)
Press/Media
(699)
Prizes
(132)
Research output
Research output per year
1977
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
5160
Article
2371
Chapter
1337
Conference contribution
417
Doctoral Thesis
2620
More
372
Book
351
Book/Film/Article review
290
Book editing
288
Web publication/site
263
Paper
210
Abstract
168
Working paper
150
Report
76
Poster
64
Editorial
51
Review article
49
Inaugural speech
43
Digital or Visual Products
42
Other contribution
39
Entry for encyclopedia/dictionary
36
Comment/Letter to the editor
26
Special issue
20
Meeting Abstract
17
Discussion paper
13
Literature review
11
Farewell speech
9
Foreword/postscript
9
Software
6
Other
5
Database
4
Letter
3
Conference article
2
Exhibition
2
Patent
1
Case note
Research output per year
Research output per year
3 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
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Conference article
Search results
2021
Automatic quantitative metrical analysis of Spanish Poetry with Rantanplan: a first approach
Hernández Lorenzo, L.,
De Sisto, M.
, Pérez, Á., De la Rosa, J., Ros, S. & González-Blanco, E.,
2021
,
In:
Tackling the Toolkit. Plotting Poetry through Computational Literary Studies..
Research output
:
Contribution to journal
›
Conference article
Open Access
Stress Placement
100%
Spanish Poetry
100%
Stanza
100%
Metrical Analysis
100%
Spanish poetry
100%
2020
A case study of natural gender phenomena in translation: A comparison of google translate, bing microsoft translator and deepl for english to Italian, French and Spanish
Rescigno, A. A.,
Vanmassenhove, E.
, Monti, J. & Way, A.,
2020
,
In:
CEUR Workshop Proceedings.
2769
,
p. 62-90
6 p.
Research output
:
Contribution to journal
›
Conference article
Open Access
Bing
100%
Google Translate
100%
Natural Gender
100%
Microsoft Translator
100%
DeepL
100%
2
Citations (Scopus)
2019
Consequences of unexplainable machine learning for the notions of a trusted doctor and patient autonomy
Klincewicz, M.
& Frank, L.,
2019
,
In:
CEUR Workshop Proceedings.
2681
Research output
:
Contribution to journal
›
Conference article
Machine Learning Algorithms
100%
Machine Learning
100%
Patient Autonomy
100%
Machine Learning Algorithm
100%
Learning System
100%