S. P. Lahdan. Structural models of analytical terms with component "Car" (based on terminologi of railway transport).
DOI:
https://doi.org/10.21272/https://doi.org/10.21272/Ftrk.2018.10(2)-09Keywords:
componentAbstract
The most common way of creating industry terms is syntactic. The advantage of terminological phrases over word terms is in their ability to express more concepts that are complex. In this article, terminological phrases of the railway industry are analyzed in a new perspective. Structural models of analytical terms with the component "car" were investigated, among which the most productive were selected.
In analytical terms, the component "car" acts either as the main word, the core of the phrase, or the dependent word. However, the component position may change when creating higher order phrases. There are two-, three-, four-and multi-component analytical terms. The most common are two- and three-component terms. For the two-component terms with the token, the "car" in the main position is the most productive model "adjective (participle) + noun". Two-component terms with the token "car" in the dependent position are created exclusively on the model "noun + noun". Among the three-component prevails the terms with the token "car" in the dependent position. Productive models of their creation are "adjective + noun + noun" and "noun + noun + noun".
The productivity of the "car" component in term formation is explained by the fact that it refers to narrowly specialized terms and stands for one of the main railway vehicles.