DESIGNING A GERMAN-INDONESIAN SLANG DICTIONARY: A CORPUS-BASED APPROACH FOR ENHANCING INFORMAL LANGUAGE LEARNING USING THE ADDIE MODEL

Abstract

This study proposes a design for improving the productive language skills of students in the German Language Education Program using a corpus-based German-Indonesian slang dictionary. Application of a semi-automated method for the first time to German slang involves the automatic extraction of data that comes from a German corpus sourced from Sketch Engine which then includes informal texts existing on platforms such as Instagram, X (formerly Twitter), Threads, and Discord. The dictionary developers follow the ADDIE model: Analysts identify student needs when understanding German slang, Designers structure the dictionary along with definitions, examples, and social context, Developers create a relevant corpus and process data, Implementers apply the dictionary in language instruction at several universities, with Evaluators assess its effectiveness when improving speaking and writing skills. The extracted data is good enough for the entry's creation. It could improve by more dictionary work. This method seems useful particularly in casual German language studies for diverse dictionary ventures.