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This article attempts to determine what ele- ments of linguistic theory are used in statisti- cal language learning, and why the extracted language models look like they do. The study …...

This work investigates the variation in a word’s dis- tributionally nearest neighbours with respect to the similarity measure used. We identify one type of variation as being the relative frequency …...

Topic modelling has been popularly used to discover latent topics from text documents. Most existing models work on individual words. That is, they treat each topic as a distribution over …...

AbstractIn this paper, we present the Taalportaal project. Taalportaal will create an online portal containing an exhaustive and fully searchable electronic reference of Dutch and Frisian phonology, morphology and syntax. …...

We explore the use of the orthographic syl- lable, a variable-length consonant-vowel se- quence, as a basic unit of translation between related languages which use abugida or alpha- betic scripts. …...

AbstractGraph Neural Network (GNN)-based models have proven effective in various Natural Language Processing (NLP) tasks in recent years. Specifically, in the case of the Extractive Document Summarization (EDS) task, modeling …...