1 code implementation • NAACL 2019 • Amit Moryossef, Yoav Goldberg, Ido Dagan
We propose to split the generation process into a symbolic text-planning stage that is faithful to the input, followed by a neural generation stage that focuses only on realization.
Ranked #15 on Data-to-Text Generation on WebNLG
1 code implementation • WS 2019 • 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 followed by a plan-realization stage.
1 code implementation • 13 Oct 2023 • Amit Moryossef, Mathias Müller, Rebecka Fahrni
The library includes a specialized file format that encapsulates various types of pose data, accommodating multiple individuals and an indefinite number of time frames, thus proving its utility for both image and video data.
1 code implementation • CVPR 2023 • Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried
Additionally, we offer a new distance measurement that considers missing keypoints, to measure the distance between pose sequences using DTW-MJE.
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.
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 • 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.
1 code implementation • 20 Sep 2023 • 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 system.
no code implementations • 23 Feb 2019 • Eva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Shterionov
In contradiction with the results described in previous comparable shared tasks, our neural models performed better than our best traditional approaches with our best feature set-up.
no code implementations • 8 Mar 2019 • Amit Moryossef, Roee Aharoni, Yoav Goldberg
When translating from a language that does not morphologically mark information such as gender and number into a language that does, translation systems must "guess" this missing information, often leading to incorrect translations in the given context.
no code implementations • WS 2019 • Amit Moryossef, Roee Aharoni, Yoav Goldberg
When translating from a language that does not morphologically mark information such as gender and number into a language that does, translation systems must {``}guess{''} this missing information, often leading to incorrect translations in the given context.
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.
no code implementations • ACL 2021 • Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani
Signed languages are the primary means of communication for many deaf and hard of hearing individuals.
no code implementations • MTSummit 2021 • Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg
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 in the order in which they are signed.
Data Augmentation Low-Resource Neural Machine Translation +3
no code implementations • 26 May 2021 • Eran Dahan, Tzvi Diskin, Amit Amram, Amit Moryossef, Omer Koren
Detection and classification of objects in overhead images are two important and challenging problems in computer vision.
no code implementations • 25 Sep 2019 • Amit Moryossef, Yanai Elazar, Yoav Goldberg
Automatic Piano Fingering is a hard task which computers can learn using data.
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).
no code implementations • 7 Mar 2023 • Amit Moryossef, Yanai Elazar, Yoav Goldberg
Piano fingering -- knowing which finger to use to play each note in a musical piece, is a hard and important skill to master when learning to play the piano.
no code implementations • 6 Sep 2023 • 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 for Natural Language Processing (NLP).
no code implementations • 8 Oct 2023 • Amit Moryossef
Harnessing state-of-the-art open-source models, this tool aims to address the communication divide between the hearing and the deaf, facilitating seamless translation in both spoken-to-signed and signed-to-spoken translation directions.