Search Results for author: Sarah Ebling

Found 20 papers, 5 papers with code

The Myth of Signing Avatars

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.

Machine Translation Position +1

Benchmarking Automated Review Response Generation for the Hospitality Domain

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.

Benchmarking Domain Adaptation +1

Exploring German Multi-Level Text Simplification

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.

Text Simplification

Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities

no code implementations20 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.

Multiple-choice Text Simplification

Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting

1 code implementation11 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.

Machine Translation Sign Language Translation +1

Real-Time Sign Language Detection using Human Pose Estimation

no code implementations11 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.

Optical Flow Estimation Pose Estimation

Benchmarking Data-driven Automatic Text Simplification for 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.

Benchmarking Machine Translation +3

Helping Domain Experts Build Speech Translation Systems

no code implementations7 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.

Sign Language Translation Translation

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