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ORCIDAnil Kumar Singh 0001
Person information
- affiliation: Indian Institute of Technology (BHU) Varanasi, Department of Computer Science amp Engineering, Varanasi, UP, India
Other persons with the same name
- Anil Kumar Singh — disambiguation page
- Anil Kumar Singh 0002
![[0000-0002-5994-6007]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5994-6007")
— Motilal Nehru National Institute of Technology Allahabad, Department of Computer Science and Engineering, Prayagraj, UP, India (and 1 more) - Anil Kumar Singh 0003 — University of Allahabad, Department of Earth & Planetary Sciences, Prayagraj, India
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2020 – today
- 2024
[j16]Anil Kumar Singh, Ankit Kumar, Vinay Kumar, Shiv Prakash:
COVID-19 Detection using adopted convolutional neural networks and high-performance computing. Multim. Tools Appl. 83(1): 593-608 (2024)- [j15]Naina Yadav, Sukomal Pal, Anil Kumar Singh:
Diversified recommendation using implicit content node embedding in heterogeneous information network. Multim. Tools Appl. 83(7): 20605-20635 (2024) - 2023
- [j14]Amit Kumar, Ajay Pratap, Anil Kumar Singh:
Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 190-199 (2023) - [i14]Amit Kumar, Rupjyoti Baruah, Ajay Pratap, Mayank Swarnkar, Anil Kumar Singh:
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques. CoRR abs/2303.01793 (2023) - [i13]Amit Kumar, Ajay Pratap, Anil Kumar Singh:
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning. CoRR abs/2303.18011 (2023) - [i12]Amit Kumar, Shantipriya Parida, Ajay Pratap, Anil Kumar Singh:
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding. CoRR abs/2305.12371 (2023) - 2022
- [j13]Naina Yadav, Anil Kumar Singh, Sukomal Pal:
Improved self-attentive Musical Instrument Digital Interface content-based music recommendation system. Comput. Intell. 38(4): 1232-1257 (2022) - [j12]Amit Kumar, Ajay Pratap, Anil Kumar Singh, Sriparna Saha:
Addressing domain shift in neural machine translation via reinforcement learning. Expert Syst. Appl. 201: 117039 (2022) - [j11]Naina Yadav, Sukomal Pal, Anil Kumar Singh, Kartikey Singh:
Clus-DR: Cluster-based pre-trained model for diverse recommendation generation. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 6385-6399 (2022) - [j10]Amit Kumar, Rajesh Kumar Mundotiya, Ajay Pratap, Anil Kumar Singh:
TLSPG: Transfer learning-based semi-supervised pseudo-corpus generation approach for zero-shot translation. J. King Saud Univ. Comput. Inf. Sci. 34(9): 6552-6563 (2022) - [j9]Rajesh Kumar Mundotiya, Arpit Mehta, Rupjyoti Baruah, Anil Kumar Singh:
Integration of morphological features and contextual weightage using monotonic chunk attention for part of speech tagging. J. King Saud Univ. Comput. Inf. Sci. 34(9): 7324-7334 (2022) - [j8]Rajesh Kumar Mundotiya, Swasti Mishra, Anil Kumar Singh:
Hierarchical self attention based sequential labelling model for Bhojpuri, Maithili and Magahi languages. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8739-8749 (2022) - [j7]Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh:
Low Resource Neural Machine Translation: Assamese to/from Other Indo-Aryan (Indic) Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(1): 19:1-19:32 (2022) - 2021
- [j6]Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur, Swasti Mishra, Anil Kumar Singh:
Linguistic Resources for Bhojpuri, Magahi, and Maithili: Statistics about Them, Their Similarity Estimates, and Baselines for Three Applications. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 95:1-95:37 (2021) - [c55]Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh:
A Comparative Study of Transformers on Word Sense Disambiguation. ICONIP (5) 2021: 748-756 - [i11]Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh:
A Comparative Study of Transformers on Word Sense Disambiguation. CoRR abs/2111.15417 (2021) - 2020
- [j5]Ashish Ranjan, Vibhav Prakash Singh, Anil Kumar Singh, Anil Kumar Thakur, Ravi Bhushan Mishra:
Classifying Brain State in Sentence Polarity Exposure: An ANN Model for fMRI Data. Rev. d'Intelligence Artif. 34(3): 361-368 (2020) - [c54]Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava, Anil Kumar Singh:
NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets. W-NUT@EMNLP 2020: 419-422 - [c53]Naina Yadav, Anil Kumar Singh:
Bi-directional Encoder Representation of Transformer model for Sequential Music Recommender System. FIRE 2020: 49-53 - [c52]Samapika Roy, Sukhada Sukhada, Anil Kumar Singh:
Parsing Indian English News Headlines. ICON 2020: 239-242 - [c51]Ankur Sonawane, Sujeet Kumar Vishwakarma, Bhavana Srivastava, Anil Kumar Singh:
Generating Inflectional Errors for Grammatical Error Correction in Hindi. AACL/IJCNLP (Student Research Workshop) 2020: 165-171 - [c50]Rajesh Kumar Mundotiya, Vikrant Kumar, Arpit Mehta, Anil Kumar Singh:
Attention-based Domain adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language. PACLIC 2020: 471-477 - [c49]Amit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh:
Transformer-based Neural Machine Translation System for Hindi - Marathi: WMT20 Shared Task. WMT@EMNLP 2020: 393-395 - [c48]Rupjyoti Baruah, Rajesh Kumar Mundotiya, Amit Kumar, Anil Kumar Singh:
NLPRL System for Very Low Resource Supervised Machine Translation. WMT@EMNLP 2020: 1075-1078 - [i10]Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur, Swasti Mishra, Anil Kumar Singh:
Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing. CoRR abs/2004.13945 (2020) - [i9]Rajesh Kumar Mundotiya, Shantanu Kumar, Ajeet Kumar, Umesh Chandra Chaudhary, Supriya Chauhan, Swasti Mishra, Praveen Gatla, Anil Kumar Singh:
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi. CoRR abs/2009.06451 (2020) - [i8]Priyankit Acharya, Aditya Kumar Pathak, Rakesh Chandra Balabantaray, Anil Kumar Singh:
Language Identification of Devanagari Poems. CoRR abs/2012.15023 (2020)
2010 – 2019
- 2019
- [j4]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages. J. Lang. Model. 7(2): 101-142 (2019) - [c47]Amit Kumar, Anil Kumar Singh:
NLPRL at WAT2019: Transformer-based Tamil - English Indic Task Neural Machine Translation System. WAT@EMNLP-IJCNLP 2019: 171-174 - [c46]Naina Yadav, Rajesh Kumar Mundotiya, Anil Kumar Singh, Sukomal Pal:
Diversity in Recommendation System: A Cluster Based Approach. HIS 2019: 113-122 - [i7]Shreyansh Singh, Avi Chawla, Ayush Sharma, Anil Kumar Singh:
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation. CoRR abs/1904.06234 (2019) - 2018
- [c45]Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh:
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data. CodeSwitch@ACL 2018: 148-153 - [c44]Krishnkant Swarnkar, Anil Kumar Singh:
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection. Fig-Lang@NAACL-HLT 2018: 115-120 - [c43]Soumil Mandal, Anil Kumar Singh:
Language Identification in Code-Mixed Data using Multichannel Neural Networks and Context Capture. NUT@EMNLP 2018: 116-120 - [c42]Akhilesh Sudhakar, Rajesh Kumar Mundotiya, Anil Kumar Singh:
Experiments on Deep Morphological Inflection. CICLing (1) 2018: 382-398 - [c41]Devang Kulshreshtha, Pranav Goel, Anil Kumar Singh:
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs. COLING 2018: 2914-2926 - [c40]Rishabh Jain, Anil Kumar Singh:
Experiments on Morphological Reinflection: CoNLL-2018 Shared Task. CoNLL Shared Task (1) 2018: 48-57 - [c39]Rajesh Kumar Mundotiya, Manish Kumar Singh, Anil Kumar Singh:
NLPRL@INLI-2018: Hybrid gated LSTM-CNN model for Indian Native Language Identification. FIRE (Working Notes) 2018: 95-101 - [c38]Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh:
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets. SemEval@NAACL-HLT 2018: 638-642 - [c37]Divyanshu Gupta, Gourav Dhakad, Jayprakash Gupta, Anil Kumar Singh:
IIT (BHU) System for Indo-Aryan Language Identification (ILI) at VarDial 2018. VarDial@COLING 2018 2018: 185-190 - [i6]Soumil Mandal, Anil Kumar Singh:
Language Identification in Code-Mixed Data using Multichannel Neural Networks and Context Capture. CoRR abs/1808.07118 (2018) - [i5]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction. CoRR abs/1811.08619 (2018) - [i4]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages. CoRR abs/1811.08816 (2018) - 2017
- [c36]Anil Kumar Singh, Avijit Thawani, Anubhav Gupta, Rajesh Kumar Mundotiya:
Evaluating Opinion Summarization in Ranking. AIRS 2017: 222-234 - [c35]Akhilesh Sudhakar, Anil Kumar Singh:
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task. CoNLL Shared Task (1) 2017: 71-78 - [c34]Pranav Goel, Anil Kumar Singh:
IIT (BHU): System Description for LSDSem'17 Shared Task. LSDSem@EACL 2017: 81-86 - [c33]Shashikant Sharma, Anil Kumar Singh:
Word Transduction for Addressing the OOV Problem in Machine Translation for Similar Resource-Scarce Languages. FSMNLP 2017: 56-63 - [c32]Saurav Jha, Aanchal Chaurasia, Akhilesh Sudhakar, Anil Kumar Singh:
Reference Scope Identification for Citances Using Convolutional Neural Networks. ICON 2017: 23-32 - [c31]Akhilesh Sudhakar, Anil Kumar Singh:
Neural Morphological Disambiguation Using Surface and Contextual Morphological Awareness. ICON 2017: 485-494 - [c30]Anil Kumar Singh, Avijit Thawani, Mayank Panchal, Anubhav Gupta, Julian J. McAuley:
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017). IJCNLP (Shared Tasks) 2017: 17-25 - [i3]Anil Kumar Singh, Akhilesh Sudhakar:
Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics. CoRR abs/1712.07512 (2017) - 2016
- [c29]Manpreet Kaur, Nishu Kumari, Anil Kumar Singh, Rajeev Sangal:
IIT (BHU) Submission on the CoNLL-2016 Shared Task: Shallow Discourse Parsing using Semantic Lexicons. CoNLL Shared Task 2016: 108-114 - [e1]Dipti Misra Sharma, Rajeev Sangal, Anil Kumar Singh:
Proceedings of the 13th International Conference on Natural Language Processing, ICON 2016, Varanasi, India, December 17-20, 2016. NLP Association of India 2016 [contents] - 2015
- [c28]Shubham Mukherjee, Abhishek Tiwari, Mohit Gupta, Anil Kumar Singh:
Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features. CoNLL Shared Task 2015: 61-65 - [c27]C. Ravindranath Chowdary, Anil Kumar Singh, Anil Nelakanti:
Responding to Retrieval: A Proposal to Use Retrieval Information for Better Presentation of Website Content. ICWE Workshops 2015: 103-114 - [i2]C. Ravindranath Chowdary, Anil Kumar Singh, Anil Nelakanti:
Responding to Retrieval: A Proposal to Use Retrieval Information for Better Presentation of Website Content. CoRR abs/1501.04509 (2015) - 2014
- [j3]Anil Kumar Singh:
A Set of Annotation Interfaces for Alignment of Parallel Corpora. Prague Bull. Math. Linguistics 102: 57-68 (2014) - [c26]Akshar Bharati, Rajeev Sangal, Dipti Misra Sharma, Anil Kumar Singh:
SSF: A Common Representation Scheme for Language Analysis for Language Technology Infrastructure Development. OIAF4HLT@COLING 2014: 66-76 - [c25]Anil Kumar Singh, Pratya Goyal:
A Language Identification Method Applied to Twitter Data. TweetLID@SEPLN 2014: 26-29 - [c24]Anil Kumar Singh, C. Ravindranath Chowdary:
Centrality based Document Ranking. TREC 2014 - 2013
- [j2]Guillaume Wisniewski, Anil Kumar Singh, François Yvon:
Quality estimation for machine translation: some lessons learned. Mach. Transl. 27(3-4): 213-238 (2013) - [c23]Guillaume Wisniewski, Anil Kumar Singh, Natalia Segal, François Yvon:
Design and Analysis of a Large Corpus of Post-Edited Translations: Quality Estimation, Failure Analysis and the Variability of Post-Edition. MTSummit 2013 - [c22]Guillaume Wisniewski, Anil Kumar Singh, Natalia Segal, François Yvon:
A corpus of post-edited translations (Un corpus d'erreurs de traduction) [in French]. TALN (2) 2013: 723-730 - [c21]Anil Kumar Singh, Guillaume Wisniewski, François Yvon:
LIMSI Submission for the WMT'13 Quality Estimation Task: an Experiment with N-Gram Posteriors. WMT@ACL 2013: 398-404 - 2012
- [c20]Anil Kumar Singh:
A Concise Query Language with Search and Transform Operations for Corpora with Multiple Levels of Annotation. LREC 2012: 1490-1497 - [c19]Rahul Agarwal, Bharat Ram Ambati, Anil Kumar Singh:
A GUI to Detect and Correct Errors in Hindi Dependency Treebank. LREC 2012: 1907-1911 - 2011
- [c18]Kiran Pala, Anil Kumar Singh, Suryakanth V. Gangashetty:
Games for Academic Vocabulary Learning through a Virtual Environment. IALP 2011: 295-298 - [i1]Anil Kumar Singh:
A Concise Query Language with Search and Transform Operations for Corpora with Multiple Levels of Annotation. CoRR abs/1108.1966 (2011) - 2010
- [j1]Anil Kumar Singh, Sethuramalingam Subramaniam, Taraka Rama:
Transliteration as Alignment vs. Transliteration as Generation for Crosslingual Information Retrieval. Trait. Autom. des Langues 51(2): 95-117 (2010) - [c17]Prasanth Kolachina, Sudheer Kolachina, Anil Kumar Singh, Samar Husain, Viswanatha Naidu, Rajeev Sangal, Akshar Bharati:
Grammar Extraction from Treebanks for Hindi and Telugu. LREC 2010 - [c16]Anil Kumar Singh, Bharat Ram Ambati:
An Integrated Digital Tool for Accessing Language Resources. LREC 2010
2000 – 2009
- 2009
- [c15]Yalamanchi Viswanatha Naidu, Anil Kumar Singh, Dipti Misra Sharma, Akshar Bharati:
Improving the Performance of the Link Parser. IALP 2009: 220-225 - [c14]Taraka Rama, Anil Kumar Singh, Sudheer Kolachina:
Modeling Letter-to-Phoneme Conversion as a Phrase Based Statistical Machine Translation Problem with Minimum Error Rate Training. HLT-NAACL (Student Research Workshop and Doctoral Consortium) 2009: 90-95 - [c13]Taraka Rama, Anil Kumar Singh:
From Bag of Languages to Family Trees From Noisy Corpus. RANLP 2009: 355-359 - [c12]Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma:
Experiments in CLIR using fuzzy string search based on surface similarity. SIGIR 2009: 682-683 - 2008
- [c11]Anil Kumar Singh:
Named Entity Recognition for South and South East Asian Languages: Taking Stock. IJCNLP 2008: 5-16 - [c10]Anil Kumar Singh:
Natural Language Processing for Less Privileged Languages: Where do we come from? Where are we going? IJCNLP 2008: 7-12 - [c9]Harshit Surana, Anil Kumar Singh:
A More Discerning and Adaptable Multilingual Transliteration Mechanism for Indian Languages. IJCNLP 2008: 64-71 - [c8]Anil Kumar Singh:
A Mechanism to Provide Language-Encoding Support and an NLP Friendly Editor. IJCNLP 2008: 957-962 - [c7]Anil Kumar Singh, Kiran Pala, Harshit Surana:
Estimating the Resource Adaption Cost from a Resource Rich Language to a Similar Resource Poor Language. LREC 2008 - [c6]Jagadeesh Gorla, Anil Kumar Singh, Rajeev Sangal, Karthik Gali, Samar Husain, Sriram Venkatapathy:
A Graph Based Method for Building Multilingual Weakly Supervised Dependency Parsers. GoTAL 2008: 148-159 - 2007
- [c5]Anil Kumar Singh:
Extraction and Translation of Multi-Word Number Expressions. IICAI 2007: 1838-1851 - [c4]Anil Kumar Singh, Samar Husain:
Exploring Translation Similarities for Building a Better Sentence Aligner. IICAI 2007: 1852-1863 - [c3]G. Chinnappa, Anil Kumar Singh:
A Java Implementation of an Extended Word Alignment Algorithm Based on the IBM Models. IICAI 2007: 1897-1913 - [c2]Anil Kumar Singh, Harshit Surana:
Can Corpus Based Measures be Used for Comparative Study of Languages? SIGMORPHON 2007: 40-47 - 2005
- [c1]Anil Kumar Singh, Samar Husain:
Comparison, Selection and Use of Sentence Alignment Algorithms for New Language Pairs. ParallelText@ACL 2005: 99-106
Coauthor Index
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