This paper presents the results of automatic translation alignment experiments on a corpus
of texts in Ancient Greek translated into Latin. We used a state-of-the-art alignment workflow …

Automatic speech recognition (ASR) can be deployed in a previously unknown language, in
less than 24 h, given just three resources: an acoustic model trained on other languages, a …

The paper describes the development process of the Tilde's NMT systems that were
submitted for the WMT 2018 shared task on news translation. We describe the data filtering …

The paper describes parallel corpus filtering methods that allow reducing noise of noisy
“parallel” corpora from a level where the corpora are not usable for neural machine …

Parallel corpora are crucial for statistical machine translation (SMT); however, they are quite
scarce for most language pairs and domains. As comparable corpora are far more available …

A machine-readable bilingual dictionary plays a crucial role in many natural language
processing tasks, such as statistical machine translation and cross-language information …

This technical report describes the collection and format of a dataset of bilingual lexicons for
50 languages, undertaken as part of the DARPA LORELEI project on develo** language …

In this paper we investigate a number of questions relating to the identification of the domain
of a term by domain classification of the document in which the term occurs. We propose and …

Translation alignment plays a crucial role in various applications in natural language
processing and digital humanities. With the recent advance in neural machine translation …

Comparable corpora are key translation resources for both languages and domains with
limited linguistic resources. The existing approaches for building comparable corpora are …