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Found 39 papers, 5 papers with code
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.
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.
Improving Abstractive Summarization with Commonsense Knowledge
Large scale pretrained models have demonstrated strong performances on several natural language generation and understanding benchmarks.
On Reducing Repetition in Abstractive Summarization
Repetition in natural language generation reduces the informativeness of text and makes it less appealing.
Parsing Indian English News Headlines
While the creativity seen in NHs is fascinating for language researchers, it poses a computational challenge for Natural Language Processing researchers.
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.
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.
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding
One reason for this is the relative morphological richness of Indian languages, while another is that most of them fall into the extremely low resource or zero-shot categories.
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning
Generative Adversarial Networks (GAN) offer a promising approach for Neural Machine Translation (NMT).
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques
If the evaluation is as rigorous as resource-rich languages, both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) can produce good results with such large amounts of data.
Generating Inflectional Errors for Grammatical Error Correction in Hindi
We address this problem by generating a large corpus of artificial inflectional errors for training GEC models.
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.
NLPRL at WAT2019: Transformer-based Tamil -- English Indic Task Neural Machine Translation System
This paper describes the Machine Translation system for Tamil-English Indic Task organized at WAT 2019.
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
This paper describes our submission system for the Shallow Track of Surface Realization Shared Task 2018 (SRST'18).
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages
Out-of-vocabulary (OOV) words can pose serious challenges for machine translation (MT) tasks, and in particular, for low-resource language (LRL) pairs, i. e., language pairs for which few or no parallel corpora exist.
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction
The ambiguities introduced by the recombination of morphemes constructing several possible inflections for a word makes the prediction of syntactic traits in Morphologically Rich Languages (MRLs) a notoriously complicated task.
Language Identification in Code-Mixed Data using Multichannel Neural Networks and Context Capture
An accurate language identification tool is an absolute necessity for building complex NLP systems to be used on code-mixed data.
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
Social media based micro-blogging sites like Twitter have become a common source of real-time information (impacting organizations and their strategies, and are used for expressing emotions and opinions.
IIT (BHU) System for Indo-Aryan Language Identification (ILI) at VarDial 2018
Text language Identification is a Natural Language Processing task of identifying and recognizing a given language out of many different languages from a piece of text.
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data
This paper describes the best performing system for the shared task on Named Entity Recognition (NER) on code-switched data for the language pair Spanish-English (ENG-SPA).
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection
The contrast between the contextual and general meaning of a word serves as an important clue for detecting its metaphoricity.
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets
This paper describes our participation in SemEval 2018 Task 3 on Irony Detection in Tweets.
Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics
Ideas from forensic linguistics are now being used frequently in Natural Language Processing (NLP), using machine learning techniques.
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)
Unlike Entity Disambiguation in web search results, Opinion Disambiguation is a relatively unexplored topic.
IIT (BHU): System Description for LSDSem'17 Shared Task
This paper describes an ensemble system submitted as part of the LSDSem Shared Task 2017 - the Story Cloze Test.
A GUI to Detect and Correct Errors in Hindi Dependency Treebank
It is essential to ensure the quality of a treebank before it can be deployed for other purposes.
A Concise Query Language with Search and Transform Operations for Corpora with Multiple Levels of Annotation
The usefulness of annotated corpora is greatly increased if there is an associated tool that can allow various kinds of operations to be performed in a simple way.
