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Found 9 papers, 1 papers with code
Assessing sentence readability for German language learners with broad linguistic modeling or readability formulas: When do linguistic insights make a difference?
We present a new state-of-the-art sentence-wise readability assessment model for German L2 readers.
How Much Hate with #china? A Preliminary Analysis on China-related Hateful Tweets Two Years After the Covid Pandemic Began
We identify a hateful rate in #china tweets of 2. 5% in 2020 and 1. 9% in 2021.
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool
Offering general text length statistics and features for lexical, syntactic, and morpho-syntactic complexity (including measures of lexical frequency, lexical diversity, lexical and syntactical variation, part-of-speech density), CTAP is currently the most comprehensive linguistic complexity measurement tool for Italian and the only one allowing the comparison of Italian texts to multiple other languages within one tool.
Computationally Modeling the Impact of Task-Appropriate Language Complexity and Accuracy on Human Grading of German Essays
Computational linguistic research on the language complexity of student writing typically involves human ratings as a gold standard.
Analyzing Linguistic Complexity and Accuracy in Academic Language Development of German across Elementary and Secondary School
We track the development of writing complexity and accuracy in German students{'} early academic language development from first to eighth grade.
COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials
This paper presents COAST, a web-based application to easily and automatically enhance syllable structure, word stress, and spacing in texts, that was designed in close collaboration with learning therapists to ensure its practical relevance.
