Software systems and services

Automatic text annotation
Automatic text annotation integrates multiple language models, each specifically trained for a distinct linguistic task. These models work together to perform a sequence of analyses across several key areas of language processing. Initially, a segmentation model identifies sentence and word boundaries within the input text. This segmentation is followed by linguistic analysis of the sentences, carried out in parallel by several specialized models.
System description.

LABLASS  – Web-based system for presenting and studying word associations
LABLASS is the first Bulgarian web-based system for studying word associations which has been designed by the team of the Laboratory of applied linguistics at Konstantin Preslavsky University of Shumen under the national project CLADA-BG. LABLASS web system contains data from word association collections compiled under the CLADA-BG project, as well as data from other dictionaries belonging to the Bulgarian lexicographic tradition.


LABMETA – Web-based system for presenting and studying cognitive metaphors
LABMETA is the first Bulgarian web-based system for studying cognitive metaphors in Bulgarian political speeches which has been created by the team of the Laboratory of applied linguistics at Konstantin Preslavsky University of Shumen under the national project CLADA-BG.


PHRASO-LAB – Dictionaries of Phraseological Units
PhrasoLAB-BG is the first web-based platform for studying Bulgarian and German phraseological units related to the human being as an axiological system in the Bulgarian and German phraseological picture of the world. The platform was developed within the framework of the national research project “National Interdisciplinary Research E-Infrastructure for Resources and Technologies for Bulgarian Linguistic and Cultural Heritage, Integrated within the European Infrastructures CLARIN and DARIAH (CLaDA-BG).
PhrasoLAB-BG is an electronic resource containing Bulgarian and German phraseological units.

Европейски контекст и финансова подкрепа