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KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection
This paper presents the system description of Offensive language detection tool which is developed by the KMI_Coling under the OffensEval Shared Task was conducted in SemEval 2019 workshop.
A Survey of Orthographic Information in Machine Translation
- Bharathi Raja Chakravarthi, P. Rani, Mihael Arcan, John P. McCrae
- Computer ScienceSN Comput. Sci.
- 4 August 2020
A survey of research regarding orthography’s influence on machine translation of under-resourced languages is offered and how orthographic information can be utilised to improve machine translation is described.
A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data
- P. Rani, Shardul Suryawanshi, Koustava Goswami, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae
- Computer ScienceTRAC
- 11 May 2020
This work attempts to analyze, detect and provide a comparative study of hate speech in a code-mixed social media text, and provides a Hindi-English code- mixed data set consisting of Facebook and Twitter posts and comments.
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text
- Koustava Goswami, P. Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae
- Computer ScienceSEMEVAL
- 27 July 2020
The Generative Morphemes with Attention Model sentiment analysis system contributed to SemEval 2020 Task 9 SentiMix aims to predict the sentiments of the given English-Hindi code-mixed tweets without using word-level language tags instead inferring this automatically using a morphological model.
Automatic Language Identification System for Hindi and Magahi
A rule-based language identifier tool for two closely related Indo-Aryan languages: Hindi and Magahi is presented, which has currently achieved an accuracy of approx 86.34%.
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019
The results show that PBSMT could be an effective method for developing MT systems for closely-related languages.
NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020
- Atul Kr. Ojha, P. Rani, A. Bansal, Bharathi Raja Chakravarthi, Ritesh Kumar, John P. McCrae
- Computer ScienceWMT
Experiments conducted to address the challenges for translation between similar languages show that different architectures NMT could be an effective method for developing MT systems for closely related languages.
An analysis of the performance of secondary level learners from PSEB and CBSE regarding english language learning skills in Malwa region of Punjab
- P. Rani
A critical study of the objectives of teaching learning english at the postgraduate level in andhra pradesh
- P. Rani
Multivariate Analysis of Career Maturity for Academic Performance and Dependence Proneness Among 10+2 Level Students
Career planning is very essential for the peaceful living and quality of life. Therefore, every youth at the age of 18 with the attainment of legal right of adulthood, should be very careful about…