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Found 8 papers, 0 papers with code
NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets
The Coronavirus pandemic has been a dominating news on social media for the last many months.
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task
This paper reports the results for the Machine Translation (MT) system submitted by the NLPRL team for the Hindi – Marathi Similar Translation Task at WMT 2020.
NLPRL Odia-English: Indic Language Neural Machine Translation System
In this manuscript, we (team name is NLPRL) describe systems description that was submitted to the translation shared tasks at WAT 2020.
Unsupervised Approach for Zero-Shot Experiments: Bhojpuri–Hindi and Magahi–Hindi@LoResMT 2020
This paper reports a Machine Translation (MT) system submitted by the NLPRL team for the Bhojpuri–Hindi and Magahi–Hindi language pairs at LoResMT 2020 shared task.
NLPRL System for Very Low Resource Supervised Machine Translation
This paper describes the results of the system that we used for the WMT20 very low resource (VLR) supervised MT shared task.
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi
The lower baseline F1-scores from the NER tool obtained by using Conditional Random Fields models are 96. 73 for Bhojpuri, 93. 33 for Maithili and 95. 04 for Magahi.
Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applications
Corpus preparation for low-resource languages and for development of human language technology to analyze or computationally process them is a laborious task, primarily due to the unavailability of expert linguists who are native speakers of these languages and also due to the time and resources required.
