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Lexical data API
(2022)
This API provides data from various dictionary resources of K Dictionaries across 50 languages. It is used by language service providers, app developers, and researchers, and returns data as JSON documents. A basic search result consists of an object containing partial lexical information on entries that match the search criteria, but further in-depth information is also available. Basic search parameters include the source resource, source language, and text (lemma), and the entries are returned as objects within the results array. It is possible to look for words with specific syntactic criteria, specifying the part of speech, grammatical number, gender and subcategorization, monosemous or polysemous entries. When searching by parameters, each entry result contains a unique entry ID, and each sense has its own unique sense ID. Using these IDs, it is possible to obtain more data – such as syntactic and semantic information, multiword expressions, examples of usage, translations, etc. – of a single entry or sense. The software demonstration includes a brief overview of the API with practical examples of its operation.
This volume of Lexicographica : Series Maior focuses on lexicographic neology and neological lexicography concerning COVID-19 neologisms, featuring papers originally presented at the third Globalex Workshop on Lexicography and Neology (GWLN 2021).
The thirteen papers in this volume focus on ten languages: one Altaic (Korean), one Finno-Ugric (Hungarian), two Germanic (English and German), four Romance (French, Italian, [Brazilian and European] Portuguese and [Pan-American and European] Spanish), and one Slavic (Croatian), as well as the Sign Language of New Zealand. Specialized dictionaries of neologisms are discussed as well as general language ones, monolingual, bilingual and multilingual lexical resources, print and electronic dictionaries. Questions regarding terminology as well as general language and standard and norm regarding COVID-19 neologisms are raised and different methods of detecting candidates in media corpora, as well as by user contributions, are discussed.