5 citations · 10 across the 3 of their papers we have counts for
4 papers
Lesan -- Machine Translation for Low Resource Languages
Asmelash Teka Hadgu, Abel Aregawi, Adam Beaudoin
Millions of people around the world can not access content on the Web because most of the content is not readily available in their language. Machine translation (MT) systems have…
Evaluating Amharic Machine Translation
Asmelash Teka Hadgu, Adam Beaudoin, Abel Aregawi
Machine translation (MT) systems are now able to provide very accurate results for high resource language pairs. However, for many low resource languages, MT is still under active…
Cross-lingual Short-text Matching with Deep Learning
Asmelash Teka Hadgu
The problem of short text matching is formulated as follows: given a pair of sentences or questions, a matching model determines whether the input pair mean the same or not. Models…
Welcome or Not-Welcome: Reactions to Refugee Situation on Social Media
Asmelash Teka Hadgu, Kaweh Djafari Naini, Claudia Niederée
For many European countries, in 2015 the refugee situation developed from a remote tragedy reported upon in the news to a situation they have to deal with in their own neighborhood…