Abstract Machine translation (MT) is a technique that leverages computers to translate
human languages automatically. Nowadays, neural machine translation (NMT) which …

The zero-shot paradigm exploits vector-based word representations extracted from text
corpora with unsupervised methods to learn general mapping functions from other feature …

(57) ABSTRACT A system and method for estimating parameters for features of a translation
scoring function for scoring candidate trans lations in a target domain are provided. Given a …

Neural Machine Translation (NMT) brings promising improvements in translation quality, but
until recently, these models rely on large-scale parallel corpora. As such corpora only exist …

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

Bilingual lexicon induction is the task of inducing word translations from monolingual
corpora in two languages. In this article we present the most comprehensive analysis of …

The goal of this work is to design a machine translation (MT) system for a low-resource
family of dialects, collectively known as Swiss German, which are widely spoken in …

One of the major challenges in the field of Natural Language Processing (NLP) is the
handling of idioms; seemingly ordinary phrases which could be further conjugated or even …

In recent years, with the development of Internet and intelligent technology, Japanese
translation teaching has gradually explored a new teaching mode. Under the guidance of …

GLAWI is a free, large-scale and versatile Machine-Readable Dictionary (MRD) that has
been extracted from the French language edition of Wiktionary, called Wiktionnaire. In …