The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …

Our experience of the world is multimodal-we see objects, hear sounds, feel texture, smell
odors, and taste flavors. Modality refers to the way in which something happens or is …

We present a simple log-linear reparameterization of IBM Model 2 that overcomes problems
arising from Model 1's strong assumptions and Model 2's overparameterization. Efficient …

The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …

This paper presents the first study using neural machine translation (NMT) for grammatical
error correction (GEC). We propose a twostep approach to handle the rare word problem in …

We present and compare various methods for computing word alignments using statistical or
heuristic models. We consider the five alignment models presented in Brown, Della Pietra …

The state of the art in machine translation (MT) is governed by neural approaches, which
typically provide superior translation accuracy over statistical approaches. However, on the …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

We investigate unsupervised techniques for acquiring monolingual sentence-level
paraphrases from a corpus of temporally and topically clustered news articles collected from …

Document-level MT models are still far from satisfactory. Existing work extend translation unit
from single sentence to multiple sentences. However, study shows that when we further …