Identification and characterization of nested-abbreviated terms in scientific discourse
Bibliographic Data
| ID | 20395296 |
|---|---|
| Authors | Natalia Rivas (Universidad de Antioquia), Gabriel Angel Quiroz Herrera (0000-0003-4940-3022, Universidad de Antioquia), John Jairo Giraldo-Ortiz (0000-0001-6102-8400, Universidad de Antioquia), John Jairo Giraldo (Universidad de Antioquia) |
| Year | 2021 |
| Volume | 27 |
| Issue | 2 |
| Pages | 219-253 |
| Publication date | 2021-10-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Terminology International Journal of Theoretical and Applied Issues in Specialized Communication (JOURNAL) |
| Journal identifiers | ISSN: 0929-9971 • E-ISSN: 1569-9994 |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/term.20022.riv |
| OpenAlex | W3198199065 |
| Language | EN |
| References cited | 15 |
This paper analyzes nested-abbreviated terms from a linguistic perspective by describing their morphological, syntactic, and semantic features for terminology purposes. Nested-abbreviated terms can be considered as abbreviated forms, either initialisms or acronyms, which have within their meaning another abbreviated term . To carry out the analysis, 433 nested-abbreviated terms were extracted from two specialized dictionaries in English. Data analysis showed that, from the morphological and semantic perspective, nested-abbreviated terms behave like typical abbreviations. Important differences were found from a syntactic standpoint where nested abbreviated terms behave as premodifiers in the noun phrase (NP) in 98.93% of the cases. As this is the first time nested-abbreviated terms are studied, they were not only described but also analyzed and defined. Although the percentage of nested-abbreviated terms obtained from the dictionaries is relatively low, less than 1% of total abbreviations, it was found that it is highly relevant to study this growing phenomenon in specialized languages for terminology extraction, as well as for other purposes
Linguistics · Natural language processing · Noun · Noun phrase · Terminology · Computer Science · Lexicography and Language Studies · linguistics and terminology studies · Natural Language Processing Techniques · Philosophy · Psychology · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |