Paradigm Shift in Language Modeling: Revisiting CNN for Modeling
Sanskrit Originated Bengali and Hindi Language

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Paradigm Shift in Language Modeling: Revisiting CNN for Modeling Sanskrit Originated Bengali and Hindi Language

25 October 2021

Md. Hasibur Rahman

Mohammad Rafsan

Mohammed Eunus Ali

Rafsanjani Muhammod

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Papers citing "Paradigm Shift in Language Modeling: Revisiting CNN for Modeling Sanskrit Originated Bengali and Hindi Language"

10 / 10 papers shown

Title
Character n-gram Embeddings to Improve RNN Language Models Sho Takase Jun Suzuki Masaaki Nagata 43 25 0 13 Jun 2019
Language Modeling with Deep Transformers Kazuki Irie Albert Zeyer Ralf Schluter Hermann Ney KELM 90 176 0 10 May 2019
Character-Level Language Modeling with Deeper Self-Attention Rami Al-Rfou Dokook Choe Noah Constant Mandy Guo Llion Jones 134 391 0 09 Aug 2018
Regularizing and Optimizing LSTM Language Models Stephen Merity N. Keskar R. Socher 166 1,095 0 07 Aug 2017
Do Convolutional Networks need to be Deep for Text Classification ? Hoa T. Le Christophe Cerisara Alexandre Denis VLM 54 105 0 13 Jul 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,972 0 15 Jul 2016
Character-Aware Neural Language Models Yoon Kim Yacine Jernite David Sontag Alexander M. Rush 104 1,669 0 26 Aug 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 382 7,964 0 17 Aug 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 558 27,311 0 01 Sep 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012

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