This chapter describes and compares current Terminology Management Systems (tms) with
a view to establishing a set of features in order to assess the extent to which terminology …

Abstract Automatic Term Extraction (ATE) extracts terminology from domain-specific corpora.
ATE is used in many NLP tasks, including Computer Assisted Translation, where it is …

In recent years, several studies have indicated interpreters resist adopting new
technologies. Yet, such technologies have enabled the development of several tools to help …

In this paper we present, describe, and evaluate SentiEcon, a large, comprehensive, domain-
specific computational lexicon designed for sentiment analysis applications, for which we …

We present a new version of the terminology extraction tool-TermoPL. This version not only
allows the ranking of term candidates but also their semantic grouping. To ensure the results …

The aim of this paper is to evaluate performance of several automatic term extraction
methods which can be easily utilized by translators themselves. The experiments are …

Untangling the complexities of legal documentation is an imperative need for non
practitioners of the legal profession. The terminology used in the domain is complex and it …

Automatic term extraction using deep learning achieves promising results if sufficient
training data exists. Unfortunately, some languages may lack these resources in some …

Preparing for a conference is time-intensive, and generally entails collecting texts and
extracting relevant terminology. While manual and automatic terminology extraction systems …

Ziel dieser Masterarbeit ist es, die Leistung verschiedener Systeme zur automatischen
Termextraktion zu bewerten, die nicht nur Wissenschaftler* innen, sondern auch …