32 citations · 60 across the 9 of their papers we have counts for
9 papers
Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation
Mihael Arcan
Large language models (LLMs) are increasingly used as general-purpose translation systems, but their behavior is usually evaluated under a single prompt shape: translate one source…
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan +2
Research into the classification of Image with Text (IWT) troll memes has recently become popular. Since the online community utilizes the refuge of memes to express themselves, th…
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…
A Survey of Orthographic Information in Machine Translation
Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan +1
Machine translation is one of the applications of natural language processing which has been explored in different languages. Recently researchers started paying attention towards…
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…
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation
Mihael Arcan, Daniel Torregrosa, Paul Buitelaar
Our work presented in this paper focuses on the translation of terminological expressions represented in semantically structured resources, like ontologies or knowledge graphs. The…