Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...
Successful collaborations between New Media Arts and HCI tend to develop hybrid techniques that promote balanced contributions from both disciplines. However, since many of these ...
Piotr D. Adamczyk, Kevin Hamilton, Michael B. Twid...
This article defines a Framework for Machine Translation Evaluation (FEMTI) which relates the quality model used to evaluate a machine translation system to the purpose and context...
Eduard H. Hovy, Margaret King, Andrei Popescu-Beli...
As described in this paper, we propose a new automatic evaluation method for machine translation using noun-phrase chunking. Our method correctly determines the matching words bet...
In this work, we introduce the TESLACELAB metric (Translation Evaluation of Sentences with Linear-programming-based Analysis – Character-level Evaluation for Languages with Ambi...