← Back to papers
2022 ACL ACL 2022

Low Saxon dialect distances at the orthographic and syntactic level

Abstract

AbstractWe compare five Low Saxon dialects from the 19th and 21st century from Germany and the Netherlands with each other as well as with modern Standard Dutch and Standard German. Our comparison is based on character n-grams on the one hand and PoS n-grams on the other and we show that these two lead to different distances. Particularly in the PoS-based distances, one can observe all of the 21st century Low Saxon dialects shifting towards the modern majority languages.

🌉 Interdisciplinary Bridge — Data Science & Analytics and Interdisciplinary and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — dialect distance
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Security & Privacy, Speech & Audio

Authors

Janine Siewert , Yves Scherrer , Martijn Wieling

Topics

Machine Learning > Core Methods > Clustering Natural Language Processing > Applications > Text Classification Data Science & Analytics > Applications > Clustering Interdisciplinary > Linguistics > Computational Linguistics Machine Learning > Core Methods > Feature Learning

Keywords

syntactic analysis part-of-speech tagging character n-gram comparative linguistics dialect analysis n-gram analysis distance measurement dialect distance part-of-speech n-gram dialect comparison
Download PDF

Related papers

HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing 2022
KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic Embeddings 2022
Toward Knowledge-Enriched Conversational Recommendation Systems 2022
Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability 2022
TableFormer: Robust Transformer Modeling for Table-Text Encoding 2022