---
title: "Who cites The Galactic Dependencies Treebanks: Getting…"
description: "The papers of the Elamur Research library that cite «The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages», found in their…"
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---
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# Who cites «The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages»

40 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/ud-2016-wang-galactic-dependencies-treebanks-getting-more/)

1. [Can Language Models Learn Typologically Implausible Languages?](https://aclanthology.org/2026.tacl-1.27/) *— 2026 · Transactions of the Association for Computational Linguistics*
2. [Emergent Word Order Universals from Cognitively-Motivated Language Models](https://aclanthology.org/2024.acl-long.781/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties](https://aclanthology.org/2024.eacl-long.28/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication](https://aclanthology.org/2024.conll-1.19/) *— 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning*
5. [Improving Cross-lingual Transfer through Subtree-aware Word Reordering](https://aclanthology.org/2023.findings-emnlp.52/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
6. [Multilingual End-to-end Dependency Parsing with Linguistic Typology knowledge](https://aclanthology.org/2023.sigtyp-1.2/) *— 2023 · Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
7. [Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies](https://aclanthology.org/2023.emnlp-main.198/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
8. [Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution](https://aclanthology.org/2023.findings-emnlp.288/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
9. [Zoology: Measuring and Improving Recall in Efficient Language Models](https://arxiv.org/abs/2312.04927) *— 2023 · arXiv:2312.04927*
10. [Towards More Natural Artificial Languages](https://aclanthology.org/2022.conll-1.7/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
11. [When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer](https://aclanthology.org/2022.naacl-main.264/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
12. [Word Order Matters When You Increase Masking](https://aclanthology.org/2022.emnlp-main.118/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
13. [Examining the Inductive Bias of Neural Language Models with Artificial Languages](https://aclanthology.org/2021.acl-long.38/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
14. [How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?](https://aclanthology.org/2021.findings-emnlp.60/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
15. [Improving the Performance of UDify with Linguistic Typology Knowledge](https://aclanthology.org/2021.sigtyp-1.5/) *— 2021 · Proceedings of the Third Workshop on Computational Typology and Multilingual NLP*
16. [Inducing Language-Agnostic Multilingual Representations](https://aclanthology.org/2021.starsem-1.22/) *— 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics*
17. [MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER](https://aclanthology.org/2021.acl-long.453/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
18. [On the Difficulty of Translating Free-Order Case-Marking Languages](https://aclanthology.org/2021.tacl-1.73/) *— 2021 · Transactions of the Association for Computational Linguistics*
19. [The Impact of Positional Encodings on Multilingual Compression](https://aclanthology.org/2021.emnlp-main.59/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
20. [Word Reordering for Zero-shot Cross-lingual Structured Prediction](https://aclanthology.org/2021.emnlp-main.338/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Cross-Lingual Dependency Parsing by POS-Guided Word Reordering](https://aclanthology.org/2020.findings-emnlp.265/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
22. [DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks](https://aclanthology.org/2020.emnlp-main.488/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
23. [Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models](https://aclanthology.org/2020.emnlp-main.554/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
24. [Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers](https://aclanthology.org/2020.coling-main.345/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
25. [A Generative Model for Punctuation in Dependency Trees](https://aclanthology.org/Q19-1023/) *— 2019 · Transactions of the Association for Computational Linguistics*
26. [A little perturbation makes a difference: Treebank augmentation by perturbation improves transfer parsing](https://aclanthology.org/2019.icon-1.9/) *— 2019 · Proceedings of the 16th International Conference on Natural Language Processing*
27. [Bootstrapping UD treebanks for Delexicalized Parsing](https://aclanthology.org/W19-6102/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
28. [Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing](https://aclanthology.org/N19-1162/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
29. [How to Parse Low-Resource Languages: Cross-Lingual Parsing, Target Language Annotation, or Both?](https://aclanthology.org/W19-7713/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
30. [Low-Resource Parsing with Crosslingual Contextualized Representations](https://aclanthology.org/K19-1029/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
31. [Low-Resource Syntactic Transfer with Unsupervised Source Reordering](https://aclanthology.org/N19-1385/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
32. [Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing](https://aclanthology.org/J19-3005/) *— 2019 · Computational Linguistics*
33. [Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing](https://aclanthology.org/Q19-1041/) *— 2019 · Transactions of the Association for Computational Linguistics*
34. [Uncovering Probabilistic Implications in Typological Knowledge Bases](https://aclanthology.org/P19-1382/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
35. [Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers](https://aclanthology.org/D19-1574/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
36. [Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP](https://aclanthology.org/P18-1142/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [Surface Statistics of an Unknown Language Indicate How to Parse It](https://aclanthology.org/Q18-1046/) *— 2018 · Transactions of the Association for Computational Linguistics*
38. [Synthetic Data Made to Order: The Case of Parsing](https://aclanthology.org/D18-1163/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
39. [Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning](https://aclanthology.org/Q17-1011/) *— 2017 · Transactions of the Association for Computational Linguistics*
40. [Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling](https://aclanthology.org/W17-6309/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*