Now showing items 1-6 of 6
Automatic enrichment of terminological resources: the IATE RDF example
(European Language Resources Association, 2018-05-07)
Terminological resources have proven necessary in many organizations and institutions to ensure communication between experts. However, the maintenance of these resources is a very time-consuming and expensive process. ...
TIAD 2019 Shared Task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generation
(National University of Ireland, Galway, 2019-04-20)
This paper describes the different proposed approaches to the TIAD 2019 Shared Task, which consisted in the automatic discovery and generation of dictionaries leveraging multilingual knowledge bases. We present three methods ...
Linking knowledge graphs across languages with semantic similarity and machine translation
(MLP 2017, 2017-09-04)
Knowledge graphs and ontologies underpin many natural language processing applications, and to apply these to new languages, these knowledge graphs must be translated. Up until now, this has been achieved either by direct ...
Improving wordnets for under-resourced languages using machine translation
(Global Wordnet Association, 2018-01-08)
Wordnets are extensively used in natural language processing, but the current approaches for manually building a wordnet from scratch involves large research groups for a long period of time, which are typically not ...
Expanding wordnets to new languages with multilingual sense disambiguation
(The COLING 2016 Organizing Committee, 2016-12-11)
Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach to many other languages, this is an ...
Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation
(National University of Ireland, Galway, 2019-05-20)
In the widely-connected digital world, multilingual lexical resources are one of the most important resources, for natural language processing applications, including information retrieval, question answering or knowledge ...