This paper presents an overview of Apertium, a free and open-source rule-based machine
translation platform. Translation in Apertium happens through a pipeline of modular tools …

For the state‐of‐the‐art in Machine Translation (MT) to advance, we contend that Statistical
MT (SMT) practitioners will have to collaborate with linguists and translators. This has not …

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 …

Development of the computational model of grammar for highly inflected language is a
complex task and it is also essential to develop rule-based machine translation systems …

Este volume resultou da iniciativa da Linguateca de chamar a comunidade da área a quem
servimos, ou seja, as pessoas envolvidas no processamento computacional da nossa …

The article describes a new way of constructing rule-based machine translation systems
(RBMT), in particular shallow-transfer RBMT suited for related languages. The article …

The most abundant bilingual resource available are parallel corpora. They are the result of
years of human translations performed on international institutions and organizations. These …

The paper analyzes the differences in verbal valency frames between two related Slavic
languages, Czech and Russian, with regard to their role in a machine translation system …

The lack of linguistically motivated translation units or phrase pairs in Phrase-based
Statistical Machine Translation (PB-SMT) systems is a well-known source of error. One …