Natural language processing (NLP) tools have sparked a great deal of interest due to rapid
improvements in information and communications technologies. As a result, many different …

Apertium is a free/open-source platform for rule-based machine translation. It is being widely
used to build machine translation systems for a variety of language pairs, especially in those …

A salient feature of Neural Machine Translation (NMT) is the end-to-end nature of training
employed, eschewing the need of separate components to model different linguistic …

The widespread use of social media and other online platforms has facilitated
unprecedented communication and information exchange. However, it has also led to the …

Owing to rapid advancements in information and communication technology, natural
language processing (NLP) methods have attracted considerable attention. Estimating …

This paper describes a method for the automatic inference of structural transfer rules to be
used in a shallow-transfer machine translation (MT) system from small parallel corpora. The …

This paper describes Apertium: a free/open-source machine translation platform (engine,
toolbox and data), its history, its philosophy of design, its technology, the community of …

This paper describes the resources available in the Apertium platform, a free/open-source
framework for creating rule-based machine translation systems. Resources within the …

The development of basic NLP resources for minority languages is still a challenge to both
formal and computational linguists. In this paper, we show how we were able to develop a …

This paper presents PurePos, a new open source Hidden Markov model based
morphological tagger tool that has an interface to an integrated morphological analyzer and …