Given that Arabic is one of the most widely used languages in the world, the task of Arabic
Machine Translation (MT) has recently received a great deal of attention from the research …

In this article, we conduct an empirical investigation of translation divergences between
Chinese and English relying on a parallel treebank. To do this, we first devise a hierarchical …

In this paper we describe Travatar, a forest-to-string machine translation (MT) engine based
on tree transducers. It provides an open-source C++ implementation for the entire forest-to …

This year, the Nara Institute of Science and Technology (NAIST)'s submission to the 2015
Workshop on Asian Translation was based on syntax-based statistical machine translation …

While tree-to-string (T2S) translation theoretically holds promise for efficient, accurate
translation, in previous reports T2S systems have often proven inferior to other machine …

For many of the world's languages, the Bible is the only significant bilingual, or even
monolingual, text, making it a unique training resource for tasks such as translation, named …

Two decades after their invention, the IBM word-based translation models, widely available
in the GIZA++ toolkit, remain the dominant approach to word alignment and an integral part …

This paper describes the Nara Institute of Science and Technology's (NAIST) submission to
the 2014 Workshop on Asian Translation's four translation tasks. All systems are based on …

This chapter covers the main algorithms and systems for sentence and word alignment. The
focus is on statistical properties of bitexts and the way these properties are exploited for …

We argue that for purely incremental unsupervised learning of phrasal inversion
transduction grammars, a minimum description length driven, iterative top-down rule …