GROBID Dictionaries is a tool for structuring dictionaries (conversion from PDF format to TEI XML), with a supervised machine learning approach (CRF models). Details are explained in (Khemakhem et al. 2017), which is also the paper to cite in relation to GROBID Dictionaries. At LexMC, I have taken part at the GROBID Dictionaries tutorial and workshop; Mohamed Khemakhem, the developer of GROBID Dictionaries has been our instructor. Here you find the initial guidelines for the tutorial session..
International audienceIn this chapter we present the main issues in representing machine readable di...
Corpus-based dictionaries are intended to any native or non-native speaker of a particular language....
This chapter looks at how general language dictionaries may be extended by using prototype theory to...
Dictionaries are invaluable resources about languages. Beginning from the famous Dīwān Lughāt al-Tur...
International audienceThis paper presents the application of GROBID-Dictionaries (Khemakhem et al. 2...
Formation à Transkribus et GROBID-dictionaries pour l'encodage automatique en XML-TEI de catalogues ...
International audienceAn important number of digitized lexical resources remain unexploited due to t...
Orotariko Euskal Hiztegia. This is the largest Basque dictionary ever produced. It considers all Bas...
Dictionaries are probably the most well studied class of data structures. A dictionary supports inse...
International audienceGLAWI is a free, large-scale and versatile Machine-Readable Dictionary (MRD) t...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
Purpose: To introduce MORDigital as an innovative Portuguese national project that incorporates the...
International audienceThis article introduces GLAWI, a large XML-encoded machine-readable dictionary...
This article describes new developments and enhanced features in the open-source web application for...
International audienceIn order to anchor international or multinational lexicographic projects on ex...
International audienceIn this chapter we present the main issues in representing machine readable di...
Corpus-based dictionaries are intended to any native or non-native speaker of a particular language....
This chapter looks at how general language dictionaries may be extended by using prototype theory to...
Dictionaries are invaluable resources about languages. Beginning from the famous Dīwān Lughāt al-Tur...
International audienceThis paper presents the application of GROBID-Dictionaries (Khemakhem et al. 2...
Formation à Transkribus et GROBID-dictionaries pour l'encodage automatique en XML-TEI de catalogues ...
International audienceAn important number of digitized lexical resources remain unexploited due to t...
Orotariko Euskal Hiztegia. This is the largest Basque dictionary ever produced. It considers all Bas...
Dictionaries are probably the most well studied class of data structures. A dictionary supports inse...
International audienceGLAWI is a free, large-scale and versatile Machine-Readable Dictionary (MRD) t...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
Purpose: To introduce MORDigital as an innovative Portuguese national project that incorporates the...
International audienceThis article introduces GLAWI, a large XML-encoded machine-readable dictionary...
This article describes new developments and enhanced features in the open-source web application for...
International audienceIn order to anchor international or multinational lexicographic projects on ex...
International audienceIn this chapter we present the main issues in representing machine readable di...
Corpus-based dictionaries are intended to any native or non-native speaker of a particular language....
This chapter looks at how general language dictionaries may be extended by using prototype theory to...