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Stopwords in Technical Language Processing

arXiv 2006.02633 ↗First posted 4 Jun 2020cs.IR cs.CLcited by 29

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Abstract (arXiv)

There are increasingly applications of natural language processing techniques for information retrieval, indexing and topic modelling in the engineering contexts. A standard component of such tasks is the removal of stopwords, which are uninformative components of the data. While researchers use readily available stopword lists which are derived for general English language, the technical jargon of engineering fields contains their own highly frequent and uninformative words and there exists no standard stopword list for technical language processing applications. Here we address this gap by rigorously identifying generic, insignificant, uninformative stopwords in engineering texts beyond the stopwords in general texts, based on the synthesis of alternative data-driven approaches, and curating a stopword list ready for technical language processing applications.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2020.

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Citing papers per year: 2021: 2; 2022: 6; 2023: 4; 2024: 7; 2025: 7; 2026: 3.

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