Amponsah-Kaakyire, Kwabena

1. Comparing Feature-Engineering and Feature-Learning Approaches for\n Multilingual Translationese Classification
   2021/09/15 by Daria Pylypenko, Pylypenko, Daria, Kwabena Amponsah-Kaakyire +7 · 1 citation
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
2. Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi
   2019/12/05 by Jesujoba O. Alabi, Alabi, Jesujoba O., Kwabena Amponsah-Kaakyire +5 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
3. Explaining Translationese: why are Neural Classifiers Better and what do they Learn?
   2022/10/24 by Amponsah-Kaakyire, Kwabena, Pylypenko, Daria, van Genabith, Josef +1 · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences