The language of proteins: NLP, machine learning & protein sequences
Computational and Structural Biotechnology Journal, 2021 Natural language processing (NLP) is a field of computer science concerned with automated text and language analysis. In recent years, following a series of breakthroughs in deep and machine learning, NLP methods have shown overwhelming progress.
Dan Ofer, Nadav Brandes, Michal Linial
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NLP (Natural Language Processing) for NLP (Natural Language Programming) [PDF]
, 2006 Natural Language Processing holds great promise for making computer interfaces that are easier to use for people, since people will (hopefully) be able to talk to the computer in their own language, rather than learn a specialized language of computer commands.
Rada Mihalcea, Hugo Liu, Henry Lieberman
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The Application of Natural Language Processing and Automated Scoring in Second Language Assessment
Studies in Applied Linguistics & TESOL, 2012 Natural language processing (NLP) is an area of research that is used to investigate the application of natural language and is the foundation of machine translation, natural language text processing, natural language generation, multilingual and cross ...
Heidi Han-Ting Liu
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Natural language processing in-and-for design research
Design Science, 2022 We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period 1991–present.
L. Siddharth +2 more
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The Application of Natural Language Processing and Automated Scoring in Second Language Assessment
Working Papers in Applied Linguistics and TESOL, 2015 Natural language processing (NLP) is an area of research that is used to investigate the application of natural language and is the foundation of machine translation, natural language text processing, natural language generation, multilingual and cross ...
Heidi Han-Ting Liu
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Natural Language Processing: Recent Development and Applications
Applied Sciences, 2023 Natural Language Processing (NLP) can be categorized into the subfields of artificial intelligence (AI) and linguistics [...]
Kuei-Hu Chang
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Clinical Natural Language Processing in languages other than English: opportunities and challenges
Journal of Biomedical Semantics, 2018 Background Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English ...
Aurélie Névéol +4 more
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A Collection of Swedish Diachronic Word Embedding Models Trained on Historical Newspaper Data
Journal of Open Humanities Data, 2021 This paper describes the creation of several word embedding models based on a large collection of diachronic Swedish newspaper material available through Språkbanken Text, the Swedish language bank.
Simon Hengchen, Nina Tahmasebi
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Enhancing African low-resource languages: Swahili data for language modelling
Data in Brief, 2020 Language modelling using neural networks requires adequate data to guarantee quality word representation which is important for natural language processing (NLP) tasks.
Casper S. Shikali, Refuoe Mokhosi
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The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures
IEEE Access, 2021 In recent years, Natural Language Processing (NLP) models have achieved phenomenal success in linguistic and semantic tasks like text classification, machine translation, cognitive dialogue systems, information retrieval via Natural Language ...
Sushant Singh, Ausif Mahmood
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