Neural machine translation (NMT) becomes a new approach to machine translation and
generates much more fluent results compared to statistical machine translation (SMT) …

In this article we address the issue of generating diversified translation systems from a single
Statistical Machine Translation (SMT) engine for system combination. Unlike traditional …

E-commerce platforms present products using titles that summarize product information.
These titles cannot be created by hand, therefore an algorithmic solution is required. The …

Every machine translation system has some advantages. We propose an improved
statistical system combination approach to achieve the advantages of existing machine …

To date, most work in grammatical error correction has focused on targeting specific error
types. We present a probe study into whether we can use round-trip translations obtained …

Alignment models are used in statistical machine translation to determine translational
correspondences between the words and phrases in a sentence in one language with the …

Translation retrieval aims to find the most likely translation among a set of target-language
strings for a given source-language string. Previous studies consider the single-best …

This paper describes a lattice-based decoder for hierarchical phrase-based translation. The
decoder is implemented with standard WFST operations as an alternative to the well-known …

In this paper, we propose a paraphrasing model to address the task of system combination
for machine translation. We dynamically learn hierarchical paraphrases from target …

Word alignment is a critical component of machine translation systems. Various methods for
word alignment have been proposed, and different models can produce significantly …