Reference Book

Below is a list of academic and scholarly sources that were used to support the research and content presented on this website. All references follow APA 7th edition guidelines



Books & Textbooks

  1. Jurafsky, D., & Martin, J. H. (2020). Speech and language processing (3rd ed.). Stanford University. https://web.stanford.edu/~jurafsky/slp3/

  2. Eisenstein, J. (2019). Introduction to natural language processing. The MIT Press. https://doi.org/10.7551/mitpress/11611.001.0001

Peer-Reviewed Journal Articles

  1. Chowdhury, G. G. (2003). Natural language processing. Annual Review of Information Science and Technology, 37(1), 51–89. https://doi.org/10.1002/aris.1440370103

  2. Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018). Recent trends in deep learning based natural language processing. IEEE Computational Intelligence Magazine, 13(3), 55–75. https://doi.org/10.1109/MCI.2018.2840738

Conference Papers / Research Reports

  1. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of NAACL-HLT 2019, 4171–4186. https://arxiv.org/abs/1810.04805

  2. Manning, C. D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S. J., & McClosky, D. (2014). The Stanford CoreNLP natural language processing toolkit. Proceedings of the 52nd Annual Meeting of the ACL: System Demonstrations, 55–60. https://doi.org/10.3115/v1/P14-5010

Web Sources (Scholarly/University Approved Only)

  1. Stanford NLP Group. (n.d.). Stanford CoreNLP. https://stanfordnlp.github.io/CoreNLP

  2. Allen Institute for AI. (n.d.). AI2 Research – NLP. https://allenai.org/research/nlp