How can cross-language research contribute to addressing issues of linguistic diversity and social justice?

Cross-language structural priming in recurrent neural network language models ... Recurrent neural network (RNN) language models that are trained on large text ... May 24, 2022 ... Data Converters | Temporal Documentation ... The problem is here when I create a this file I get following error and don't know what to do. Oct 26, 2016 ... Servers could communicate to each other via messages instead of shared libraries. It is a typical solution for distributed systems. E.g. Java ... PolyCruise combines a light language-specific analysis that computes symbolic dependencies in each language unit with a language-agnostic online data flow ... Substrait provides a well-defined, cross-language specification for data compute operations. This includes a consistent declaration of common operations, custom ... Aug 21, 2024 ... This thesis offers novel insights into visual word recognition, focussing on both within-language and cross-language morphological ... Cross-language repetition priming. Native Spanish speakers who were proficient in English performed an abstract-concrete judgment with single Spanish or English ... Nov 19, 2013 ... The problem of interfacing between languages is going to become increasingly important to compiler writers over the coming years. It presents a number of ... Abstract. Cross-linguistic studies are essential to the identification of universal processes in language development, language use, and language breakdown. Apr 3, 2020 ... Abstract. In this work we focus on transferring supervision signals of natural language generation (NLG) tasks between multiple languages. We ...