activity
20192025
most citedStep-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation

15 citations · 53 across the 26 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.CL2023

Linguistically Motivated Sign Language Segmentation

Amit Moryossef, Zifan Jiang, Mathias Müller +2

Sign language segmentation is a crucial task in sign language processing systems. It enables downstream tasks such as sign recognition, transcription, and machine translation. In t…

cs.CV2023★ 2 cited

pose-format: Library for Viewing, Augmenting, and Handling .pose Files

Amit Moryossef, Mathias Müller, Rebecka Fahrni

Managing and analyzing pose data is a complex task, with challenges ranging from handling diverse file structures and data types to facilitating effective data manipulations such a…

cs.CL2023★ 1 cited

sign.mt: Real-Time Multilingual Sign Language Translation Application

Amit Moryossef

This demo paper presents sign.mt, an open-source application pioneering real-time multilingual bi-directional translation between spoken and signed languages. Harnessing state-of-t…

eess.AS2023★ 1 cited

Addressing the Blind Spots in Spoken Language Processing

Amit Moryossef

This paper explores the critical but often overlooked role of non-verbal cues, including co-speech gestures and facial expressions, in human communication and their implications fo…

cs.CL2023

SignBank+: Preparing a Multilingual Sign Language Dataset for Machine Translation Using Large Language Models

Amit Moryossef, Zifan Jiang

We introduce SignBank+, a clean version of the SignBank dataset, optimized for machine translation between spoken language text and SignWriting, a phonetic sign language writing sy…

cs.CL2023★ 5 cited

An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation

Amit Moryossef, Mathias Müller, Anne Göhring +3

Sign language translation systems are complex and require many components. As a result, it is very hard to compare methods across publications. We present an open-source implementa…