Search Results for author: Ana{\"\i}s Tack

Found 7 papers, 0 papers with code

Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers

no code implementations LREC 2020 N{\'u}ria Gala, Ana{\"\i}s Tack, Ludivine Javourey-Drevet, Thomas Fran{\c{c}}ois, Johannes C. Ziegler

In this paper, we present a new parallel corpus addressed to researchers, teachers, and speech therapists interested in text simplification as a means of alleviating difficulties in children learning to read.

Text Simplification

Deep Learning Architecture for Complex Word Identification

no code implementations WS 2018 Dirk De Hertog, Ana{\"\i}s Tack

We describe a system for the CWI-task that includes information on 5 aspects of the (complex) lexical item, namely distributional information of the item itself, morphological structure, psychological measures, corpus-counts and topical information.

Binary Classification Complex Word Identification +2

NT2Lex: A CEFR-Graded Lexical Resource for Dutch as a Foreign Language Linked to Open Dutch WordNet

no code implementations WS 2018 Ana{\"\i}s Tack, Thomas Fran{\c{c}}ois, Piet Desmet, C{\'e}drick Fairon

In this paper, we introduce NT2Lex, a novel lexical resource for Dutch as a foreign language (NT2) which includes frequency distributions of 17, 743 words and expressions attested in expert-written textbook texts and readers graded along the scale of the Common European Framework of Reference (CEFR).

Complex Word Identification

Human and Automated CEFR-based Grading of Short Answers

no code implementations WS 2017 Ana{\"\i}s Tack, Thomas Fran{\c{c}}ois, Sophie Roekhaut, C{\'e}drick Fairon

This paper is concerned with the task of automatically assessing the written proficiency level of non-native (L2) learners of English.

SVALex: a CEFR-graded Lexical Resource for Swedish Foreign and Second Language Learners

no code implementations LREC 2016 Thomas Fran{\c{c}}ois, Elena Volodina, Ildik{\'o} Pil{\'a}n, Ana{\"\i}s Tack

The paper introduces SVALex, a lexical resource primarily aimed at learners and teachers of Swedish as a foreign and second language that describes the distribution of 15, 681 words and expressions across the Common European Framework of Reference (CEFR).

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