How can technology be used to support cross language learning and teaching?

Apr 3, 2020 ... Abstract. In this work we focus on transferring supervision signals of natural language generation (NLG) tasks between multiple languages. We ... Cross-language structural priming in recurrent neural network language models ... Recurrent neural network (RNN) language models that are trained on large text ... Cross-language information retrieval ... Cross-language information retrieval (CLIR) is a subfield of information retrieval dealing with retrieving information ... Situated knowledge in cross-cultural, cross-language research: a collaborative reflexive analysis of researcher, assistant and participant subjectivities. Sep 4, 2006 ... Construction Grammar in a Cross-Language Perspective ... This volume gives an easily accessible, yet comprehensive, sophisticated, and example- ... Jul 27, 2023 ... Pooled assessment and information extraction annotation were used to create reusable IR test collections. These datasets are freely available to ... Sep 30, 2006 ... We argue that analysis of cross language data shows some strong similarities with secondary data analysis. ... languages. The EU-funded BICROSS project will use a multilingual cross-language approach to overcome this monolingual limitation. By developing digital ... Cross-language detection works by scanning for similar text in other languages, in addition to the language of your original document. Note that the document ... Courses of Study · Arabic: Minor · Chinese Studies: Major, Minor · Deaf Studies & Sign Languages: Self-Designed Major, Minor · French and Francophone Studies: ...