Anil Kumar Thakur

@iitbhu.ac.in

Indian Institute of Technology Banaras Hindu University, Varanasi, India

Anil Kumar Thakur


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https://researchid.co/anilt
5

Scopus Publications

212

Scholar Citations

6

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Identification of Neuro-semantic Representation of Concrete Nouns Using Cascaded Feature Selection
    Ashish Ranjan, Abhay Singh Rawat, Vibhav Prakash Singh, Anil Kumar Thakur, Anil Kumar Singh
    SN Computer Science, 2025
  • English-to-Hindi translation divergence study of English phrasal verbs
    Pursotam Kumar, Anil Kumar Thakur
    Edelweiss Applied Science and Technology, 2024
    English phrasal verbs pose complex semantic interpretations and cause significant problems in their translation into the target language. The paper selects some frequent and highly polysemous English phrasal verbs listed with 10 or more senses in the English WordNet, collects sample English sentences from the British National Corpus and examines their Hindi translation equivalents in terms of the morpho-syntactic structure of Hindi verbs and the representation of semantic information. This study attempts to present the semantic equivalence in rendering the identical semantics in the verbal system of both languages under consideration. The study found that the most frequent and common way of realising the concepts represented by English phrasal verbs in Hindi is by incorporating the compound verb constructions in the Hindi language. Besides that, we observe multiple mapping patterns of English phrasal verbs in Hindi, including the simple Hindi verb (v), compound verb (v1-v2), and conjunct verb (noun/adjective/adverb-verb) constructions.
  • Sociolinguistic Aspects of Linguistic Visuals in Varanasi
    Glocal Conference Proceedings, 2023
  • Sentence polarity detection using stepwise greedy correlation based feature selection and random forests: An fMRI study
    Ashish Ranjan, Vibhav Prakash Singh, Ravi Bhusan Mishra, Anil Kumar Thakur, Anil Kumar Singh
    Journal of Neurolinguistics, 2021
  • Classifying brain state in sentence polarity exposure: An ANN model for fMRI data
    Ashish Ranjan, Vibhav Singh, Anil Singh, Anil Thakur, Ravi Mishra
    Revue D Intelligence Artificielle, 2020
    Brain being the most complex organ of human body in which millions of neuron are connected to each other, and pass information in processing of thoughts, emotions, motor activities and linguistic phenomenon. With the advent of non-invasive neuro-anatomical analysis methods like PET scan, fMRI it is now easy to measure neuronal changes in brain. This study analyses the neuronal activity in the brain in sentence polarity detection task using multilayer perceptron classification methodology. The whole brain is divided into almost 5000 three-dimensional volume called voxels from which prominent voxels are selected using symmetrical uncertainty based on entropy for the classification of brain state. The proposed method achieved significantly higher accuracy in classifying brain state in the processing of affirmative and negative sentences. The result obtained also shows that certain brain regions like left dorsolateral prefrontal cortex (LDLPFC) and calcarine sulcus (CALC) are prominent areas which are deterministic in classification of affirmative and negative sentences in brain while right posterior pre-central sulcus (RPPREC) and right supramarginal gyrus (RSGA) are less contributing.

RECENT SCHOLAR PUBLICATIONS

  • Sentence polarity detection using stepwise greedy correlation based feature selection and random forests: an fMRI study
    A Ranjan, VP Singh, RB Mishra, AK Thakur, AK Singh
    Journal of Neurolinguistics 59, 100985 , 2021
    2021.0
    Citations: 19
  • Genitive in Hindi
    A Thakur
    Partridge Publishing , 2016
    2016.0
  • Disambiguation of Particles: Hindi-To-English
    A Thakur
    Partridge Publishing , 2015
    2015.0
  • Theory of nouns: the Hindi noun phrase
    A Thakur
    Partridge Publishing , 2015
    2015.0
    Citations: 2
  • On Translation of Interrogative Sentences from Hindi to English.
    RMK Sinha, A Thakur
    MLMTA, 148-154 , 2006
    2006.0
    Citations: 2
  • Machine translation of bi-lingual hindi-english (hinglish) text
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Papers, 149-156 , 2005
    2005.0
    Citations: 106
  • Handling ki in hindi for hindi-English mT
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Posters, 356-353 , 2005
    2005.0
    Citations: 10
  • Dealing with replicative words in Hindi for machine translation to English
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Papers, 157-164 , 2005
    2005.0
    Citations: 7
  • Translation Divergence in English-Hindi MT
    RMK Sinha, A Thakur
    Proceedings of the 10th EAMT Conference: Practical applications of machine … , 2005
    2005.0
    Citations: 40
  • Divergence patterns in machine translation between Hindi and English
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Posters, 346-353 , 2005
    2005.0
    Citations: 26
  • A Contrastive Analysis of a Particle in Selected Indian Languages
    A Thakur, S Ghosh, RMK Sinha, BN Patnaik
  • Semantic Constraints in Pre-/Post-Position Disambiguation in Reverse MT
    A Thakur
  • Classifying Brain State in Sentence Polarity Exposure: An ANN Model for fMRI Data Classifying Brain State in Sentence Polarity Exposure: An ANN Model for fMRI Data
    A Ranjan, VP Singh, AK Singh, AK Thakur, RB Mishra
  • Machine Translation in India
    A THAKUR
    History of Translation in India, 445 , 0
  • Na: Beyond Negation
    A Thakur, S Ghosh
  • Handling ki in Hindi for Hindi-English MT
    RMK Sinha, A Thakur

MOST CITED SCHOLAR PUBLICATIONS

  • Machine translation of bi-lingual hindi-english (hinglish) text
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Papers, 149-156 , 2005
    2005.0
    Citations: 106
  • Translation Divergence in English-Hindi MT
    RMK Sinha, A Thakur
    Proceedings of the 10th EAMT Conference: Practical applications of machine … , 2005
    2005.0
    Citations: 40
  • Divergence patterns in machine translation between Hindi and English
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Posters, 346-353 , 2005
    2005.0
    Citations: 26
  • Sentence polarity detection using stepwise greedy correlation based feature selection and random forests: an fMRI study
    A Ranjan, VP Singh, RB Mishra, AK Thakur, AK Singh
    Journal of Neurolinguistics 59, 100985 , 2021
    2021.0
    Citations: 19
  • Handling ki in hindi for hindi-English mT
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Posters, 356-353 , 2005
    2005.0
    Citations: 10
  • Dealing with replicative words in Hindi for machine translation to English
    RMK Sinha, A Thakur
    Proceedings of Machine Translation Summit X: Papers, 157-164 , 2005
    2005.0
    Citations: 7
  • Theory of nouns: the Hindi noun phrase
    A Thakur
    Partridge Publishing , 2015
    2015.0
    Citations: 2
  • On Translation of Interrogative Sentences from Hindi to English.
    RMK Sinha, A Thakur
    MLMTA, 148-154 , 2006
    2006.0
    Citations: 2
  • Genitive in Hindi
    A Thakur
    Partridge Publishing , 2016
    2016.0
  • Disambiguation of Particles: Hindi-To-English
    A Thakur
    Partridge Publishing , 2015
    2015.0
  • A Contrastive Analysis of a Particle in Selected Indian Languages
    A Thakur, S Ghosh, RMK Sinha, BN Patnaik
  • Semantic Constraints in Pre-/Post-Position Disambiguation in Reverse MT
    A Thakur
  • Classifying Brain State in Sentence Polarity Exposure: An ANN Model for fMRI Data Classifying Brain State in Sentence Polarity Exposure: An ANN Model for fMRI Data
    A Ranjan, VP Singh, AK Singh, AK Thakur, RB Mishra
  • Machine Translation in India
    A THAKUR
    History of Translation in India, 445 , 0
  • Na: Beyond Negation
    A Thakur, S Ghosh
  • Handling ki in Hindi for Hindi-English MT
    RMK Sinha, A Thakur