92 citations · 140 across the 4 of their papers we have counts for
8 papers
KoBE: Knowledge-Based Machine Translation Evaluation
Zorik Gekhman, Roee Aharoni, Genady Beryozkin +2
We propose a simple and effective method for machine translation evaluation which does not require reference translations. Our approach is based on (1) grounding the entity mention…
Real-Time Sign Language Detection using Human Pose Estimation
Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni +2
We propose a lightweight real-time sign language detection model, as we identify the need for such a case in videoconferencing. We extract optical flow features based on human pose…
Unsupervised Domain Clusters in Pretrained Language Models
Roee Aharoni, Yoav Goldberg
The notion of "in-domain data" in NLP is often over-simplistic and vague, as textual data varies in many nuanced linguistic aspects such as topic, style or level of formality. In a…
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Ohad Rozen, Vered Shwartz, Roee Aharoni +1
Phenomenon-specific "adversarial" datasets have been recently designed to perform targeted stress-tests for particular inference types. Recent work (Liu et al., 2019a) proposed tha…
The Missing Ingredient in Zero-Shot Neural Machine Translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat +3
Multilingual Neural Machine Translation (NMT) models are capable of translating between multiple source and target languages. Despite various approaches to train such models, they…
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
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 i…