Abstract: Vocabulary of a language has a great role to play in the Natural Language Processing (NLP) applications. Such applications make use of lists like stop-word list, general service list, academic word list and technical domain word list. The technical domain word list differs with each domain and though it is available for fields like medicine, biology, computer science, physics and law, the domain of databases in specific has still not been explored. For the first time, we propose technical vocabulary comprising of POS-tagged unigram tokens and POS-tagged unigram lemmata for the technical domain of databases. This vocabulary has been called DBTechVoc with a coined term. Notably, the multi-word phrases have also been considered, without their further tokenization, to maintain their semantics. The empirical results, with more than 1000 high quality research papers collected over a period of 45 years from 1976 to 2021, prove that the technical general word list of the domain of computer science is different from the technical and specific word list of the domain of databases. The overlap was found to be less than 2%. The research titles use 6% Rainbow stop words while 13% of the words used for the research paper titles are inflectional forms of lemmata.

Jatinder kumar R. Saini, Ketan Kotecha and Hema Gaikwad. “DBTechVoc: A POS-tagged Vocabulary of Tokens and Lemmata of the Database Technical Domain”. International Journal of Advanced Computer Science and Applications (IJACSA) 13.2 (2022). http://dx.doi.org/10.14569/IJACSA.2022.0130237

@article{Saini2022,
title = {DBTechVoc: A POS-tagged Vocabulary of Tokens and Lemmata of the Database Technical Domain},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130237},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130237},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {2},
author = {Jatinder kumar R. Saini and Ketan Kotecha and Hema Gaikwad}
}