Who cites «Modeling Global Syntactic Variation in English Using Dialect Classification»
12 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- The Indonesian Religiolect Corpus: Data Curation for Muslim, Protestant, and Catholic Language Varieties — 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
- Validating and Exploring Large Geographic Corpora — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Exploring the Constructicon: Linguistic Analysis of a Computational CxG — 2023 · arXiv:2301.12642
- Get to Know Your Parallel Data: Performing English Variety and Genre Classification over MaCoCu Corpora — 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)
- Syntactic Variation Across the Grammar: Modelling a Complex Adaptive System — 2023 · arXiv:2309.11869
- Variation and Instability in Dialect-Based Embedding Spaces — 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)
- Stability of Syntactic Dialect Classification over Space and Time — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Learned Construction Grammars Converge Across Registers Given Increased Exposure — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
- Learning to Recognize Dialect Features — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Representations of Language Varieties Are Reliable Given Corpus Similarity Measures — 2021 · Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects
- Geographically-Balanced Gigaword Corpora for 50 Language Varieties — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Measuring Linguistic Diversity During COVID-19 — 2020 · Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science