15 citations · 30 across the 7 of their papers we have counts for
8 papers · 1 filter
Considerations for meaningful sign language machine translation based on glosses
Mathias Müller, Zifan Jiang, Amit Moryossef +2
Automatic sign language processing is gaining popularity in Natural Language Processing (NLP) research (Yin et al., 2021). In machine translation (MT) in particular, sign language…
Data Augmentation for Sign Language Gloss Translation
Amit Moryossef, Kayo Yin, Graham Neubig +1
Sign language translation (SLT) is often decomposed into video-to-gloss recognition and gloss-to-text translation, where a gloss is a sequence of transcribed spoken-language words…
Including Signed Languages in Natural Language Processing
Kayo Yin, Amit Moryossef, Julie Hochgesang +2
Signed languages are the primary means of communication for many deaf and hard of hearing individuals. Since signed languages exhibit all the fundamental linguistic properties of n…
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
Amit Moryossef, Ioannis Tsochantaridis, Joe Dinn +6
Signed languages are visual languages produced by the movement of the hands, face, and body. In this paper, we evaluate representations based on skeleton poses, as these are explai…
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
Amit Moryossef, Ido Dagan, Yoav Goldberg
We follow the step-by-step approach to neural data-to-text generation we proposed in Moryossef et al (2019), in which the generation process is divided into a text-planning stage f…
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
Amit Moryossef, Yoav Goldberg, Ido Dagan
Data-to-text generation can be conceptually divided into two parts: ordering and structuring the information (planning), and generating fluent language describing the information (…