In this paper we present datasets of Facebook comment threads to mainstream media posts
in Slovene and English developed inside the Slovene national project FRENK (the acronym …

Terminology translation plays a critical role in domain-specific machine translation (MT).
Phrase-based statistical MT (PB-SMT) has been the dominant approach to MT for the past …

This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification
of terms from literature in the domain of computational linguistics. The dataset is derived …

Legal technology is currently receiving a lot of attention from various angles. In this
contribution we describe the main technical components of a system that is currently under …

In this paper we present a method for extracting bilingual terminologies from comparable
corpora. In our approach we treat bilingual term extraction as a classification problem. For …

This paper investigates graph-based approaches to labeled topic clustering of reader
comments in online news. For graph-based clustering we propose a linear regression model …

Bilingual termbanks are important for many natural language processing applications,
especially in translation workflows in industrial settings. In this paper, we apply a log …

In this paper, we address the problem of extracting and integrating bilingual terminology into
a Statistical Machine Translation (SMT) system for a Computer Aided Translation (CAT) tool …

This work focuses on the extraction and integration of automatically aligned bilingual
terminology into a Statistical Machine Translation (SMT) system in a Computer Aided …

The paper presents the KAS corpus of Slovenian academic writing, which consists of almost
65,000 BA/B. Sc., 16,000 MA/M. Sc. and 1600 Ph. D. theses (5 million pages or 1.7 billion …