no code implementations • 7 Oct 2015 • Manny Rayner, Alejandro Armando, Pierrette Bouillon, Sarah Ebling, Johanna Gerlach, Sonia Halimi, Irene Strasly, Nikos Tsourakis
We present a new platform, "Regulus Lite", which supports rapid development and web deployment of several types of phrasal speech translation systems using a minimal formalism.
no code implementations • LREC 2020 • Alessia Battisti, Sarah Ebling
In this paper, we present a corpus for use in automatic readability assessment and automatic text simplification of German.
no code implementations • LREC 2020 • Andreas S{\"a}uberli, Sarah Ebling, Martin Volk
Automatic text simplification is an active research area, and there are first systems for English, Spanish, Portuguese, and Italian.
no code implementations • 11 Aug 2020 • Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni, Sarah Ebling, Srini Narayanan
We propose a lightweight real-time sign language detection model, as we identify the need for such a case in videoconferencing.
no code implementations • 20 Apr 2021 • Amit Moryossef, Ioannis Tsochantaridis, Joe Dinn, Necati Cihan Camgöz, Richard Bowden, Tao Jiang, Annette Rios, Mathias Müller, Sarah Ebling
Basically, skeletal representations generalize over an individual's appearance and background, allowing us to focus on the recognition of motion.
1 code implementation • 11 Oct 2022 • Zifan Jiang, Amit Moryossef, Mathias Müller, Sarah Ebling
This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writing system.
no code implementations • 28 Nov 2022 • Mathias Müller, Zifan Jiang, Amit Moryossef, Annette Rios, Sarah Ebling
Automatic sign language processing is gaining popularity in Natural Language Processing (NLP) research (Yin et al., 2021).
1 code implementation • 28 May 2023 • Amit Moryossef, Mathias Müller, Anne Göhring, Zifan Jiang, Yoav Goldberg, Sarah Ebling
Sign language translation systems are complex and require many components.
1 code implementation • 21 Oct 2023 • Amit Moryossef, Zifan Jiang, Mathias Müller, Sarah Ebling, Yoav Goldberg
We find that introducing BIO tagging is necessary to model sign boundaries.
no code implementations • 20 Feb 2024 • Andreas Säuberli, Franz Holzknecht, Patrick Haller, Silvana Deilen, Laura Schiffl, Silvia Hansen-Schirra, Sarah Ebling
For the target group of persons with intellectual disabilities, comprehension questions emerged as the most reliable measure, while analyzing reading speed provided valuable insights into participants' reading behavior.
1 code implementation • EMNLP (newsum) 2021 • Annette Rios, Nicolas Spring, Tannon Kew, Marek Kostrzewa, Andreas Säuberli, Mathias Müller, Sarah Ebling
The task of document-level text simplification is very similar to summarization with the additional difficulty of reducing complexity.
1 code implementation • RANLP 2021 • Nicolas Spring, Annette Rios, Sarah Ebling
We report on experiments in automatic text simplification (ATS) for German with multiple simplification levels along the Common European Framework of Reference for Languages (CEFR), simplifying standard German into levels A1, A2 and B1.
no code implementations • READI (LREC) 2022 • Renate Hauser, Jannis Vamvas, Sarah Ebling, Martin Volk
Simplified language news articles are being offered by specialized web portals in several countries.
no code implementations • MTSummit 2021 • John C. McDonald, Rosalee Wolfe, Eleni Efthimiou, Evita Fontinea, Frankie Picron, Davy Van Landuyt, Tina Sioen, Annelies Braffort, Michael Filhol, Sarah Ebling, Thomas Hanke, Verena Krausneker
Development of automatic translation between signed and spoken languages has lagged behind the development of automatic translation between spoken languages, but it is a common misperception that extending machine translation techniques to include signed languages should be a straightforward process.
no code implementations • EcomNLP (COLING) 2020 • Tannon Kew, Michael Amsler, Sarah Ebling
Online customer reviews are of growing importance for many businesses in the hospitality industry, particularly restaurants and hotels.