Descriptive comments play a crucial role in the software engineering process. They
decrease development time, enable better bug detection, and facilitate the reuse of …

Neural machine translation (NMT) often fails in one-to-many translation, eg, in the translation
of multi-word expressions, compounds, and collocations. To improve the translation of …

In neural machine translation (NMT), researchers face the challenge of un-seen (or out-of-
vocabulary OOV) words translation. To solve this, some researchers propose the splitting of …

In neural machine translation (NMT), researchers face the challenge of un-seen (or out-of-
vocabulary OOV) words translation. To solve this, some researchers propose the splitting of …

We explore the abilities of character recurrent neural network (char-RNN) for hashtag
segmentation. Our approach to the task is the following: we generate synthetic training …

While there are over seven thousand languages in the world, substantial language
technologies exist only for a small percentage of these. The large majority of world …

Korean neural machine translation may significantly suffer from low-resource issues. We
thus propose an enhancement method that fully exploits the hierarchical Korean word …

We report ongoing research on linking elements in German compounds, with a focus on
noun-noun compounds in which the first constituent is ending in schwa. We present a …

The use of a linking element between compound members is a common phenomenon in
Germanic languages. Still, the exact use and conditioning of such elements is a disputed …

The translation of Chinese separable words is a challenge in Chinese-English machine
translation. In this paper, we propose a simple yet effective method that combines the two …