This thesis presents Bharathi Raja Asoka Chakravarthi's work on machine translation for
underresourced languages. As the internet becomes increasingly available to the whole …

Abstract Machine translation is one of the applications of natural language processing which
has been explored in different languages. Recently researchers started paying attention …

How to incorporate external knowledge into a neural dialogue model is critically important
for dialogue systems to behave like real humans. To handle this problem, memory networks …

Image captioning is an underlying and crucial problem in artificial intelligence. This is
challenging since it requires advanced research in computer vision to detect objects and the …

The paper presents experiments in neural machine translation with lexical constraints into a
morphologically rich language. In particular and we introduce a method and based on …

We propose a simplified Level Of Detail (LOD) algorithm to learn phrase translation for
statistical machine translation. In particular, LOD learns unknown phrase translations from …

In this study, we investigate English-to-Myanmar statistical machine translation (SMT) by
using part-of-speech (POS) as linguistic inform-ation which is valuable for statistical machine …

Generate automatically the image caption is describing content over an image using the
machine learning algorithms. It is still a challenging problem since the knowledge of …

Current statistical machine translation systems usually build an initial word-to-word
alignments before learning phrase translation pairs. This operation needs so many matching …