| Training & Evaluation of POS Taggers in Indo-Aryan Languages: A Case of Hindi, Odia and Bhojpuri AK Ojha, P Behera, S Singh, GN Jha LTC-2015 Proceedings, 2015 | 33 | 2015 |
| Indian languages on the TypeCraft platform– the case of Hindi and Odia GN Jha, L Hellan, D Beermann, S Singh, P Behera, E Banerjee WILDRE2 - 2nd Workshop on Indian Language Data: Resources and Evaluation, 84-90, 2014 | 12 | 2014 |
| Issues and Challenges in Developing Statistical POS Taggers for Sambalpuri P Behera, A Ojha, GN Jha Lecture Notes in Computer Science, Springer 10930, 393-406, 2018 | 11 | 2018 |
| A classification-based approach to the identification of Multiword Expressions (MWEs) in Magahi Applying SVM S Kumar, P Behera, GN Jha Procedia computer science, Elsevier 112, 594-603, 2017 | 9 | 2017 |
| Evaluation of SVM-based automatic parts of speech tagger for Odia P Behera 3rd Workshop on Indian Language Data: Resources & Evaluation (WILDRE-3 …, 2016 | 8 | 2016 |
| An Error Analysis of the Urdu Verb Markers: A Comparative Study on Google and Bing Machine Translation Platforms S Muzaffar, P Behera Aligarh Journal of Linguistics 4 (Numbers 1-2), 198-208, 2014 | 8 | 2014 |
| An Experiment with the CRF++ Parts of Speech (POS) Tagger for Odia P Behera Language in India 17 (1), 18-40, 2017 | 7 | 2017 |
| Dealing with Linguistic Divergences in English-Bhojpuri Machine Translation P Behera, N Maurya, V Pandey WSSANLP, 103-113, 2016 | 7 | 2016 |
| A Pāniniān Framework for Analyzing Case Marker Errors in English-Urdu Machine Translation S Muzaffar, P Behera, GN Jha Procedia computer science, Elsevier 96 (2016), 502-510, 2016 | 7 | 2016 |
| Odia Parts of Speech Tagging Corpora: Suitability of Statistical Models P Behera Centre for Linguistics, SLL & CS, Jawaharlal Nehru University, 2016 | 7 | 2016 |
| Evaluation of Anuvadaksh (EILMT) English-Odia Machine-assisted Translation Tool P Behera, R Singh, GN Jha 3rd Workshop on Indian Language Data: Resources & Evaluation (WILDRE-3 …, 2016 | 5 | 2016 |
| Classification and Resolution of Linguistic Divergences in English-Urdu Machine Translation S Muzaffar, P Behera, GN Jha 3rd Workshop on Indian Language Data: Resources & Evaluation (WILDRE-3 …, 2016 | 5 | 2016 |
| A Qualitative Evaluation of Google's Translate: A Comparative Analysis of English-Urdu Phrase-based Statistical Machine Translation (PBSMT) and Neural Machine Translation (NMT … P Behera, S Muzaffar Language in India 18 (10), 154-164, 2018 | 4 | 2018 |
| Documenting Sambalpuri-Kosli: The Case of a Less-resourced Language P Behera, BN Dash INDIAN JOURNAL OF APPLIED LINGUISTICS, Bahri 43 (1-2), 128-144, 2017 | 4* | 2017 |
| An experimentation with the CRF++ parts of speech tagger for Odia P Behera Language in India 17, 2940, 2017 | 4 | 2017 |
| Issues and Challenges in Annotating Urdu Action Verbs on the IMAGACT4ALL Platform S Muzaffar, P Behera, GN Jha Language Resources and Evaluation Conference (LREC-2016), 1446-1451, 2016 | 4 | 2016 |
| The TypeCraft Natural Language Database: Annotating and Incorporating Urdu S Muzaffar, P Behera, GN Jha, L Hellan, D Beermann Indian Journal of Science and Technology, Elsevier 8 (27), 1-9, 2015 | 4 | 2015 |
| Odia parts of speech tagging corpus: suitability of statistical models P Behera M. Phil. Dissertation. New Delhi: Jawaharlal Nehru University, 2015 | 4 | 2015 |
| The Concepts of Equivalence, Gain and Loss (Divergence) in English-Urdu Web-Based Machine Translation Platforms S Muzaffar, P Behera, GN Jha, L Hellan, D Beermann Proceedings of International Conference of South Asian Languages (ICOSAL-12), 2017 | 3 | 2017 |
| The IMAGACT4ALL Ontology of Animated Images: Impli-cations for Theoretical and Machine Translation of Action Verbs from English-Indian Languages P Behera, S Muzaffar, AK Ojha, GN Jha WSSANLP, 64-73, 2016 | 3 | 2016 |
Girish Nath JhaProfessor, Jawaharlal Nehru UniversityVerified email at jnu.ac.in
