Barman, Utsab (2019) Automatic processing of code-mixed social media content. PhD thesis, Dublin City University.

Han, Jingguang, Barman, Utsab, Hayes, Jer, Du, Jinhua ORCID: 0000-0002-3267-4881, Burgin, Edward and Wan, Dadong (2018) NextGen AML: distributed deep learning based language technologies to augment anti money laundering Investigation. In: 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations, 15-20 July 201, Melbourne, Australia.

Barman, Utsab, Wagner, Joachim ORCID: 0000-0002-8290-3849 and Foster, Jennifer ORCID: 0000-0002-7789-4853 (2016) Part-of-speech tagging of code-mixed social media content: pipeline, stacking and joint modelling. In: Second Workshop on Computational Approaches to Code Switching, 2 Nov 2016, Austin, Texas, USA.

Barman, Utsab, Das, Amitava ORCID: 0000-0003-3418-463X, Wagner, Joachim ORCID: 0000-0002-8290-3849 and Foster, Jennifer ORCID: 0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar.

Barman, Utsab, Wagner, Joachim ORCID: 0000-0002-8290-3849, Chrupała, Grzegorz ORCID: 0000-0001-9498-6912 and Foster, Jennifer ORCID: 0000-0002-7789-4853 (2014) DCU-UVT: Word-level language classification with code-mixed data. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar.

Wagner, Joachim ORCID: 0000-0002-8290-3849, Arora, Piyush ORCID: 0000-0002-4261-2860, Cortes, Santiago, Barman, Utsab, Bogdanova, Dasha, Foster, Jennifer ORCID: 0000-0002-7789-4853 and Tounsi, Lamia (2014) DCU: aspect-based polarity classification for SemEval task 4. In: International Workshop on Semantic Evaluation (SemEval-2014), 23-24 Aug 2014, Dublin, Ireland. ISBN 978-1-941643-24-2