Rebekah Baglini


Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts
Rebekah Baglini | Hermes Hjorth
Proceedings of the Fifth Workshop on Teaching NLP

Natural Language Processing offers new insights into language data across almost all disciplines and domains, and allows us to corroborate and/or challenge existing knowledge. The primary hurdles to widening participation in and use of these new research tools are, first, a lack of coding skills in students across K-16, and in the population at large, and second, a lack of knowledge of how NLP-methods can be used to answer questions of disciplinary interest outside of linguistics and/or computer science. To broaden participation in NLP and improve NLP-literacy, we introduced a new tool web-based tool called Natural Language Processing 4 All (NLP4All). The intended purpose of NLP4All is to help teachers facilitate learning with and about NLP, by providing easy-to-use interfaces to NLP-methods, data, and analyses, making it possible for non- and novice-programmers to learn NLP concepts interactively.

The Danish Gigaword Corpus
Leon Strømberg-Derczynski | Manuel Ciosici | Rebekah Baglini | Morten H. Christiansen | Jacob Aarup Dalsgaard | Riccardo Fusaroli | Peter Juel Henrichsen | Rasmus Hvingelby | Andreas Kirkedal | Alex Speed Kjeldsen | Claus Ladefoged | Finn Årup Nielsen | Jens Madsen | Malte Lau Petersen | Jonathan Hvithamar Rystrøm | Daniel Varab
Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)

Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a focused effort to provide a diverse and freely-available one billion word corpus of Danish text. The Danish Gigaword corpus covers a wide array of time periods, domains, speakers’ socio-economic status, and Danish dialects.