4 citations · 19 across the 17 of their papers we have counts for
17 papers
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction
Manuel Mager, Rajat Bhatnagar, Graham Neubig +2
Neural models have drastically advanced state of the art for machine translation (MT) between high-resource languages. Traditionally, these models rely on large amounts of training…
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers
Manuel Mager, Elisabeth Mager, Katharina Kann +1
In recent years machine translation has become very successful for high-resource language pairs. This has also sparked new interest in research on the automatic translation of low-…
Neighboring Words Affect Human Interpretation of Saliency Explanations
Alon Jacovi, Hendrik Schuff, Heike Adel +2
Word-level saliency explanations ("heat maps over words") are often used to communicate feature-attribution in text-based models. Recent studies found that superficial factors such…
Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions
Daniel Ortega, Chia-Yu Li, Ngoc Thang Vu
This paper presents our latest investigation on modeling backchannel in conversations. Motivated by a proactive backchanneling theory, we aim at developing a system which acts as a…
Modeling Speaker-Listener Interaction for Backchannel Prediction
Daniel Ortega, Sarina Meyer, Antje Schweitzer +1
We present our latest findings on backchannel modeling novelly motivated by the canonical use of the minimal responses Yeah and Uh-huh in English and their correspondent tokens in…
The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic-English Code-Switching Levels based on Character Profiles
Injy Hamed, Alia El Bolock, Cornelia Herbert +2
Code-switching (CS) is a common linguistic phenomenon exhibited by multilingual individuals, where they tend to alternate between languages within one single conversation. CS is a…