( en | de | ru )

 

Disambiguation of "Kumar, Shankar"

Author of the publication

copydeleteadd this publication to your clipboard
Corpora Generation for Grammatical Error Correction.

, , , , , and . NAACL-HLT (1), page 3291-3301. Association for Computational Linguistics, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shankar Vembu

Shankar Krishnan

Shankar Agharkar

Shankar Subramanian

Premchandra Shankar

 

Other publications of authors with the same name

Weakly Supervised Grammatical Error Correction using Iterative Decoding., , , , and . CoRR, (2018)Corpora Generation for Grammatical Error Correction., , , , , and . NAACL-HLT (1), page 3291-3301. Association for Computational Linguistics, (2019)Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models., and . BEA@EACL, page 37-47. Association for Computational Linguistics, (2021)Minimum Bayes-Risk Word Alignments of Bilingual Texts., and . EMNLP, page 140-147. (2002)Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model., , , , , and . ICASSP, page 6097-6101. IEEE, (2022)Modeling Non-Linguistic Contextual Signals in LSTM Language Models Via Domain Adaptation., , , , , and . ICASSP, page 6094-6098. IEEE, (2018)Lattice rescoring strategies for long short term memory language models in speech recognition., , , , , and . ASRU, page 165-172. IEEE, (2017)RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling., , , and . ICASSP, page 6079-6083. IEEE, (2018)Heterogeneous Federated Learning Using Knowledge Codistillation., , , , , and . CoRR, (2023)Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models., , and . ACL (1), page 8634-8645. Association for Computational Linguistics, (2022)