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Publication search results
found 16 matches
- 2014
- Emil Abrahamsson, Timothy Forni, Maria Skeppstedt, Maria Kvist:
Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language. PITR@EACL 2014: 57-65 - Marcelo Amancio, Lucia Specia:
An Analysis of Crowdsourced Text Simplifications. PITR@EACL 2014: 123-130 - Laetitia Brouwers, Delphine Bernhard, Anne-Laure Ligozat, Thomas François:
Syntactic Sentence Simplification for French. PITR@EACL 2014: 47-56 - Alina Maria Ciobanu, Liviu P. Dinu:
A Quantitative Insight into the Impact of Translation on Readability. PITR@EACL 2014: 104-113 - Richard Evans, Constantin Orasan, Iustin Dornescu:
An evaluation of syntactic simplification rules for people with autism. PITR@EACL 2014: 131-140 - Johan Falkenjack, Arne Jönsson:
Classifying easy-to-read texts without parsing. PITR@EACL 2014: 114-122 - Gabriela Ferraro, Hanna Suominen, Jaume Nualart:
Segmentation of patent claims for improving their readability. PITR@EACL 2014: 66-73 - Natalia Grabar, Thierry Hamon, Dany Amiot:
Automatic diagnosis of understanding of medical words. PITR@EACL 2014: 11-20 - Matthew J. Green:
An eye-tracking evaluation of some parser complexity metrics. PITR@EACL 2014: 38-46 - Gintare Grigonyte, Maria Kvist, Sumithra Velupillai, Mats Wirén:
Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results. PITR@EACL 2014: 74-83 - David Pellow, Maxine Eskénazi:
An Open Corpus of Everyday Documents for Simplification Tasks. PITR@EACL 2014: 84-93 - Luz Rello, Horacio Saggion, Ricardo Baeza-Yates:
Keyword Highlighting Improves Comprehension for People with Dyslexia. PITR@EACL 2014: 30-37 - Sanja Stajner, Ruslan Mitkov, Horacio Saggion:
One Step Closer to Automatic Evaluation of Text Simplification Systems. PITR@EACL 2014: 1-10 - Lisa Tengstrand, Beáta Megyesi, Aron Henriksson, Martin Duneld, Maria Kvist:
EACL - Expansion of Abbreviations in CLinical text. PITR@EACL 2014: 94-103 - Sowmya Vajjala, Detmar Meurers:
Exploring Measures of "Readability" for Spoken Language: Analyzing linguistic features of subtitles to identify age-specific TV programs. PITR@EACL 2014: 21-29 - Sandra Williams, Advaith Siddharthan, Ani Nenkova:
Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations, PITR@EACL 2014, Gothenburg, Sweden, April 27, 2014. Association for Computational Linguistics 2014, ISBN 978-1-937284-91-6 [contents]
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