• Digital Humanities and Cultural Heritage
• Publicationsclose
• Other research productsclose
• CZ close
• NARCIS close
• CLARIN close

The CLARIN Concept Registry (clarin.eu/conceptregistry) is the place in the CLARIN Infrastructure where common and shared semantics of, but not limited to, linguistic concepts are defined. This is important to achieve semantic interoperability, and to overcome to a degree the diversity in data structures, either in metadata or linguistic resources, encountered within the infrastructure. Whereas in the past, CLARIN has been using the ISOcat registry for these purposes, nowadays this new registry is being used, as ISOcat turned out to have some serious drawbacks as far as its use in the CLARIN community is concerned. The main difference between the two semantic registries is that the CCR is a concept registry whereas ISOcat is a data category registry. In this paper we describe why the decision to switch to a concept registry has been made. We also describe the most important other characteristics of the new (Open)SKOSbased registry, as well as the management procedures used to prevent a recurrent proliferation of entries, as was the case with ISOcat. ispartof: pages:62-70 ispartof: Selected Papers from the CLARIN Annual Conference 2015, October 14–16, 2015, Wroclaw, Poland pages:62-70 ispartof: CLARIN Annual Conference location:Wroclaw, Poland date:15 Oct - 17 Oct 2015 status: published

This work focuses on using anaphora for machine translation with deep-syntactic transfer. We compare multiple coreference resolvers for English in terms of how they affect the quality of pronoun translation in English-Czech and English-Dutch machine translation systems with deep transfer. We examine which pronouns in the target language depend on anaphoric information, and design rules that take advantage of this information. The resolvers’ performance measured by translation quality is contrasted with their intrinsic evaluation results. In addition, a more detailed manual analysis of English-to-Czech translation was carried out.

This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics. This paper documents the initiative’s work throughout Europe in order to boost progress and innovation in our field.

People with complex information needs are for example Humanities researchers, who need advanced search engines to investigate their research questions. Much can be gained by combining research datasets, reusing tools and serendipitously discovering new insights for further research. Humanities researchers have different (large-scale) research datasets and tools, which are described differently with metadata. We present a highly interactive advanced search engine for Humanities researchers that semantically converges differently structured metadata records from different collections and institutions. It has features that support serendipitous and focused search in context based on the structure of the metadata used. This single system serves Humanities researchers by allowing them to search interactively across yet unexplored (research) data, discover patterns, locate relevant data for new insights, and find existing tools that could provide novel use cases.