Culture is underrepresented in terminological resources and ideology is an especially complicated cultural aspect to convey. This complexity stems from the intertwined relationships among the discourse community of politicians, the media and the general public, as well as their interactions with scientific knowledge. Nevertheless, terminological resources should provide the necessary information to understand the political perspective taken in discourse on scientific issues with a high political profile. As in all specialized domains, environmental concepts and terms are subject to dynamism and variation (León-Araúz, 2017). Cognitive term variants (e.g., climate change, climate crisis) are of particular interest because of their presence in political discourse and their potential to influence climate actions. They can be used to reflect multidimensionality, imprecision or ideological attachment. This paper describes a method based on framing in Communication Studies to extract ideological knowledge from corpora. We used Spanish and English parliamentary debates (ParlaMint 2.1) and annotated the interventions that included a term variant of climate change according to an adapted version of the frames proposed by Bolsen and Shapiro (2018). The results showed how climate change discourse changes across de ideological spectrum and we give a proposal on how to represent that knowledge in an environmental TKB on the environment.

Despite advances in computer technology, terminologists still tend to rely on manual work to extract all the semantic information that they need for the description of specialized concepts. In this paper we propose the creation of new word sketches in Sketch Engine for the extraction of semantic relations. Following a pattern-based approach, new sketch grammars are devel-oped in order to extract some of the most common semantic relations used in the field of ter-minology: generic-specific, part-whole, location, cause and function.

The Java programming language started as the language Oak when the World Wide Web was still being developed at CERN. It has gained popularity since its launch as a programming language capable of being used to develop applications which can run across the Internet (as well as local stand-alone programs). As with many technologies associated with the World Wide Web, there is a lot of 'hype', confusion, and misinformation. Consequently, while many researchers in the area of Natural Language Processing and Machine Translation will have heard of Java, may be considering using it, or even have got as far as their first 'Hello World' applet, they are probably not fully aware of what the implications of using this language are, and what possible role it could have in the development of computational linguistic applications, either intended to run locally on a wide range of computing platforms, or remotely across the Internet. This paper sets out to address this issue by presenting Java in a clear, concise fashion and considering how it may be used in computational linguistic applications. A requirements analysis for a generic Natural Language Processing and Machine Translation tool is undertaken to consider how Java could be used, and subsequently two example systems developed in Java (which can be accessed on the Internet) are introduced. Finally, pointers to Java resources are presented so that researchers interested in using this language can both install it and learn how to program it.