Academic writing in English can be challenging for non-native English speakers (NNESs). AI-
powered rewriting tools can potentially improve NNESs' writing outcomes at a low cost …

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 …

Math word problems (MWP) involving advanced operators such as linear equation solver
cannot be easily tackled by earlier MWP methods, because the existing generation methods …

There are few on-line platforms related to Natural Language Processing and zero services
of machine translation for Nahuatl as a low-resource language. However, Nahuatl has had …

We investigate the usage of entity linking (EL) in downstream tasks and present the first
modularized EL toolkit for easy task adaptation. Different from the existing EL methods that …

Although Cherokee is known to show highly flexible clausal word order, the principles that
predict speakers' preferences among possible orders are not extensively described. This …

Natural language generation (NLG) is an important subfield of natural language processing
(NLP) that produces natural language output. Despite notable advancements made by large …