16 citations · 20 across the 4 of their papers we have counts for
5 papers
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios
Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud +4
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate text from source to target l…
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae +1
Exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices but also enables people to expre…
Polylingual Wordnet
Mihael Arcan, John McCrae, Paul Buitelaar
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…
Augmenting Neural Machine Translation with Knowledge Graphs
Diego Moussallem, Mihael Arčan, Axel-Cyrille Ngonga Ngomo +1
While neural networks have been used extensively to make substantial progress in the machine translation task, they are known for being heavily dependent on the availability of lar…
Translating Questions into Answers using DBPedia n-triples
Mihael Arcan
In this paper we present a question answering system using a neural network to interpret questions learned from the DBpedia repository. We train a sequence-to-sequence neural netwo…