Lexica of MWEs have always been a valuable resource for various NLP tasks. This paper presents the results of a comprehensive survey on multiword lexical resources that extends a previous one from 2016 to the present. We analyze a diverse set of lexica across multiple languages, reporting on aspects such as creation date, intended usage, languages covered and linguality type, content, acquisition method, accessibility, and linkage to other language resources. Our findings highlight trends in MWE lexicon development focusing on the representation level of languages. This survey aims to support future efforts in creating MWE lexica for NLP applications by identifying these gaps and opportunities.

This paper presents the design and development of the Georgian Syntactic Treebank within the Universal Dependencies (UD) framework, addressing the unique morphosyntactic challenges ofGeorgian, a Kartvelian language. We describe the methodology for selecting andannotating 3,013 sentences from Wiki, mapping existing tagsets to the UD scheme, and converting data into the CoNLL-U format. The paper also details the training of a UDPipe model using this preliminary treebank.