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The digital environment represents a qualitatively new level of service for research work with linguistic information presented in dictionary form. And first of all, this applies to index systems. By dictionary indexing we mean a set of formalized rules and procedures, on the basis of which it is possible to obtain information about certain linguistic facts recorded in the dictionary. These rules are implemented in the form of user interfaces. However, one should take into account the fact that the effectiveness of automatic construction of index schemes for a digital dictionary is possible only in a sufficiently formalized environment. This article describes the method and technology of indexing the Etymological Dictionary of the Ukrainian Language (EDUL). For the language indexing of the dictionary, a special computer instrumental system (VLL – virtual lexicographic laboratory) was developed, and adapted to the structure of the EDUL and focused on the creation of indexes in automatic mode. The digital implementation of the EDUL made it possible to access the entire corpus of the dictionary text regardless of the time of publication of the corresponding volume and opened up opportunities for various digital interpretations of etymological information.
The paper describes an online German-Russian database for phraseological constructions (PhC), or syntactic idioms. It is a linguistic phenomenon representing a stable multi-word form that usually contains some auxiliary words (“anchors”) and partially opens up empty spaces (“slots”) which are filled directly in spoken language by various lexemes or combinations of lexemes (“fillers”, or “slot fillers”). Linguists from several German institutions are currently working on the database. The PhCs selected for the database have to meet special criteria. The database is a manual that combines scientific descriptions, a thesaurus and a bilingual dictionary. The database is designed as an active aid for text production in the respective foreign language; it is also a manual for language researchers and for translators. Apart from that, it can serve as a basis for extensions for other language pairs. The aim of the project is to record and to describe 300 PhC before the database is published. Our objective is to enable foreign language learners to use the syntactic idioms correctly in the texts they produce rather than create a big-sized database. The paper describes some issues related to the creation of the database, namely objectives and target groups, material and methods, microstructure of the database article and some others.
This paper presents the methodology of a research project on the use of specialised German dictionaries. A mixed-methods research approach will help to answer the following main questions, concerning the lexicographic presentation of the data on the one hand and the data collection on the other hand: How do different systems of data organization and presentation affect the likelihood that users will correctly find and select the data they look up? And does the probability of success increase if users are familiar with the system? Which advantages and disadvantages do lexicographers and specialised languages experts see in using quantitative methods to extract terms? And are these methods accepted and considered reliable by the user community?
The purpose of this paper is to present the lexicographic protocol and to report on the progress of compilation of Mikaela_Lex, which is a Greek, free online monolingual school dictionary for upper elementary students with visual impairments including 4,000 lemmata. The dictionary is equipped with new digital tools, such as the “Braille-system keyboard, a “speech-to-text” tool, a “text-to-speech” tool and also a qwerty accessibility for visually non-impaired students.
This paper describes a method for automatic identification of sentences in the Gigafida corpus containing multi-word expressions (MWEs) from the list of 5,242 phraseological units, which was developed on the basis of several existing open-access lexical resources for Slovene. The method is based on a definition of MWEs, which includes information on two levels of corpus annotation: syntax (dependency parsing) and morphology (POS tagging), together with some additional statistical parameters. The resulting lexicon contains 12,358 sentences containing MWEs extracted from the corpus. The extracted sentences were analysed from the lexicographic point of view with the aim of establishing canonical forms of MWEs and semantic relations between them in terms of variation, synonymy, and antonymy.