[1603:1:6] //Dictionaries of type of term types//@eng-Latn

[fititnt]

Quick examples of external references

• http://www.terminorgs.net/downloads/TBX_Basic_Version_3.1.pdf, page 17 and 18
  • fullForm, abbreviation, shortForm, acronym, variant, phrase
• https://www.gala-global.org/sites/default/files/migrated-pages/docs/tbx_oscar_0.pdf, page 71
  • abbreviation, acronym, clippedTerm, commonName, entryTerm, equation, formula, fullForm, initialism, internationalism, internationalScientificTerm, logicalExpression, partNumber, phraseologicalUnit, transcribedForm, transliteratedForm, shortForm, shortcut, sku, standardText, string, symbol, synonym, synonymousPhrase, variant
• https://iate.europa.eu/fields-explained
  • fullForm, abbreviation, shortForm, phrase, formula, variant
• https://github.com/EticaAI/hxltm/blob/main/ontologia/cor.hxltm.215.yml
  • This file have some previous work on document such "terminum_typum"

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This table is a linguistic specialization of [1603:1:51] #9 (which explains natural languages plus writing systems).

The [1603:1:51] is insufficient to explain the stricter type of what term is in a language. This is necessary for interoperability with Terminology Bases where such differentiation is relevant.

Example of challenges

The definition of this numeric namespace of dictionaries is not as hard as how to deal with real world usage. This means we can't simply design something without taking in account how hard would be implement it.

Why the real world is complicated

When trying to scale up terminology translations, quite often translators will use fail safe strategies which are divergent from what a person would expect.

A quite common fact is someone asking "translate this abbreviation for me" for an organization with a name in Latin Alphabet but the target language is simply... not an alphabet. These more obvious cases actually may be easier to avoid errors, despite someone asking an impossible translation for writing systems the individual do not know

Then, the problem becomes language where the translation could be possible (or the source term is not an abbreviation) but the fail safe strategy of translators is to generate very verbose translations (like an entire sentence to explain a term). These types of nuances are likely to mean that most first versions of translations are likely to need review in future. And we also cannot blame initial translators because such less strict translations are quite often good initial alternatives