no code implementations • NAACL (BEA) 2022 • Tanja Heck, Detmar Meurers
We present a parametrizable approach to exercise generation from authentic texts that addresses the need for digital materials designed to practice the language means on the curriculum in a real-life school setting.
no code implementations • EACL (BEA) 2021 • Savvas Chatzipanagiotidis, Maria Giagkou, Detmar Meurers
This paper explores the linguistic complexity of Greek textbooks as a readability classification task.
no code implementations • INLG (ACL) 2021 • Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Kordula De Kuthy, Lukas Stein, Detmar Meurers
In this paper, we explore the viability of form-based and more fine-grained encodings, such as character or subword representations for question generation.
no code implementations • NAACL (BEA) 2022 • Zarah Weiss, Detmar Meurers
We present a new state-of-the-art sentence-wise readability assessment model for German L2 readers.
no code implementations • COLING 2020 • Kordula De Kuthy, Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Detmar Meurers
To make this approach useful for analyzing authentic data, Riester, Brunetti {\&} De Kuthy (2018) presented a discourse annotation framework based on explicit pragmatic principles for determining a QUD for every assertion in a text.
no code implementations • EACL (BEA) 2021 • Haemanth Santhi Ponnusamy, Detmar Meurers
They practice using multi-gap learning activities generated from the book focused on words that are central to the targeted lexical space.
no code implementations • WS 2019 • Zarah Weiss, Detmar Meurers
We track the development of writing complexity and accuracy in German students{'} early academic language development from first to eighth grade.
no code implementations • WS 2019 • Zarah Weiss, Anja Riemenschneider, Pauline Schr{\"o}ter, Detmar Meurers
Computational linguistic research on the language complexity of student writing typically involves human ratings as a gold standard.
no code implementations • COLING 2018 • Zarah Wei{\ss}, Detmar Meurers
Our most successful binary classification model for German readability robustly shows high accuracy between 89. 4{\%}{--}98. 9{\%} for both data sets.
no code implementations • WS 2018 • Heiko Holz, Zarah Weiss, Oliver Brehm, Detmar Meurers
This paper presents COAST, a web-based application to easily and automatically enhance syllable structure, word stress, and spacing in texts, that was designed in close collaboration with learning therapists to ensure its practical relevance.
no code implementations • WS 2018 • Bj{\"o}rn Rudzewitz, Ramon Ziai, Kordula De Kuthy, Verena M{\"o}ller, Florian Nuxoll, Detmar Meurers
While immediate feedback on learner language is often discussed in the Second Language Acquisition literature (e. g., Mackey 2006), few systems used in real-life educational settings provide helpful, metalinguistic feedback to learners.
no code implementations • WS 2018 • Maria Chinkina, Ankita Oswal, Detmar Meurers
Input material at the appropriate level is crucial for language acquisition.
no code implementations • NAACL 2018 • Ramon Ziai, Detmar Meurers
Analyzing language in context, both from a theoretical and from a computational perspective, is receiving increased interest.
no code implementations • WS 2017 • Maria Chinkina, Detmar Meurers
Complementing the focus on meaning and comprehension, we want to highlight the fact that questions can also be used to make learners notice form aspects of the linguistic system and their interpretation.
no code implementations • WS 2016 • Sowmya Vajjala, Detmar Meurers, Alex Eitel, er, Katharina Scheiter
Computational approaches to readability assessment are generally built and evaluated using gold standard corpora labeled by publishers or teachers rather than being grounded in observations about human performance.
no code implementations • WS 2016 • Xiaobin Chen, Detmar Meurers
Informed by research on readability and language acquisition, computational linguists have developed sophisticated tools for the analysis of linguistic complexity.
no code implementations • COLING 2016 • Serhiy Bykh, Detmar Meurers
We propose a hierarchical clustering approach designed to group linguistic features for supervised machine learning that is inspired by variationist linguistics.
no code implementations • LREC 2016 • Kordula De Kuthy, Ramon Ziai, Detmar Meurers
While the formal pragmatic concepts in information structure, such as the focus of an utterance, are precisely defined in theoretical linguistics and potentially very useful in conceptual and practical terms, it has turned out to be difficult to reliably annotate such notions in corpus data.
1 code implementation • 18 Mar 2016 • Sowmya Vajjala, Detmar Meurers
We propose a new method for evaluating the readability of simplified sentences through pair-wise ranking.
no code implementations • LREC 2014 • Adriane Boyd, Jirka Hana, Lionel Nicolas, Detmar Meurers, Katrin Wisniewski, Andrea Abel, Karin Sch{\"o}ne, Barbora {\v{S}}tindlov{\'a}, Chiara Vettori
The MERLIN corpus is a written learner corpus for Czech, German, and Italian that has been designed to illustrate the Common European Framework of Reference for Languages (CEFR) with authentic learner data.
no code implementations • LREC 2014 • Koenraad De Smedt, Erhard Hinrichs, Detmar Meurers, Inguna Skadi{\c{n}}a, Bolette Pedersen, Costanza Navarretta, N{\'u}ria Bel, Krister Lind{\'e}n, Mark{\'e}ta Lopatkov{\'a}, Jan Haji{\v{c}}, Gisle Andersen, Przemyslaw Lenkiewicz
CLARA (Common Language Resources and Their Applications) is a Marie Curie Initial Training Network which ran from 2009 until 2014 with the aim of providing researcher training in crucial areas related to language resources and infrastructure.