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Rajakrishnan Rajkumar

Biographic Data

ID3844453
NAMERajakrishnan Rajkumar
GIVEN NAMESRajakrishnan
FAMILY NAMERajkumar
SIGNATURERAJKUMAR R
AFFILIATIONSIndian Institute of Technology Indore
ORCID0000-0003-2052-4082
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Locality and expectation effects in Hindi preverbal constituent ordering

    Open Access•Sidharth Ranjan, Rajakrishnan Rajkumar et al.•ARTICLE•Cognition•2022

  • Better Surface Realization through Psycholinguistics

    Open Access•Rajakrishnan Rajkumar, Michael White•ARTICLE•Language and Linguistics Compass•2014•Cited by: 1•References: 51

    In this survey, we review recent progress on surface realization in natural language generation (NLG), highlighting how machine learning models have moved beyondn-grams to successfully incorporate linguistic insights into increasingly rich models. We also advance the view that NLG still has much to gain by taking up insights from psycholinguistic studies - not only of human production but also of comprehension. We highlight how realization rankin…

  • Better Surface Realization through Psycholinguistics

    Open Access•Rajakrishnan Rajkumar, Michael White•ARTICLE•Language and Linguistics Compass•2014•Cited by: 1•References: 51

    In this survey, we review recent progress on surface realization in natural language generation (NLG), highlighting how machine learning models have moved beyondn-grams to successfully incorporate linguistic insights into increasingly rich models. We also advance the view that NLG still has much to gain by taking up insights from psycholinguistic studies - not only of human production but also of comprehension. We highlight how realization rankin…

  • Better Surface Realization through Psycholinguistics

    Open Access•Rajakrishnan Rajkumar, Michael White•ARTICLE•Language and Linguistics Compass•2014•Cited by: 1•References: 51

    In this survey, we review recent progress on surface realization in natural language generation (NLG), highlighting how machine learning models have moved beyondn-grams to successfully incorporate linguistic insights into increasingly rich models. We also advance the view that NLG still has much to gain by taking up insights from psycholinguistic studies - not only of human production but also of comprehension. We highlight how realization rankin…

  • Locality and expectation effects in Hindi preverbal constituent ordering

    Open Access•Sidharth Ranjan, Rajakrishnan Rajkumar et al.•ARTICLE•Cognition•2022

Computer Science (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Psychology (2 works) · Topic Modeling (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bigram (1 work) · Cognition (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae