How can computational models be used to analyze and predict cross-linguistic patterns?

Mar 5, 2025 ... In the 1.5 million data points across different comparison pairs, we found that when performing a cross-language alignment on a non-tonal ... Jan 3, 2025 ... If Generative AI becomes embedded in the workforce to assist with language communication, then perhaps people can retain their connections and ... Jun 4, 2024 ... This study aimed to identify disparate health-related marketing across English- and Spanish-language television networks in New York City. Abstract. Cross-linguistic studies are essential to the identification of universal processes in language development, language use, and language breakdown. Cross-language structural priming in recurrent neural network language models ... Recurrent neural network (RNN) language models that are trained on large text ... In fact, mixing sections with different threat models into one program can lead to attacks that would not have been possible in the two sections individually. Authors. Min Xiao, Yuhong Guo. Abstract. Cross language text classification is an important learning task in natural language processing. In this paper, we analyze Twitter messages (tweets) collected during the first months of the COVID-19 pandemic in Europe with regard to their sentiment. This is ... Author: Schwartz, Ana Isabel; Graduate Program: Psychology; Degree: Doctor of Philosophy; Document Type: Dissertation; Date of Defense: September 24, 2003 ... PolyCruise combines a light language-specific analysis that computes symbolic dependencies in each language unit with a language-agnostic online data flow ...