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# Who cites «Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation»

16 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/deng-2017-translation-divergences-chinese-english-machine/)

1. [Analysing Translation Artifacts: A Comparative Study of LLMs, NMTs, and Human Translations](https://aclanthology.org/2024.wmt-1.116/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
2. [Assessing the Cross-linguistic Utility of Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-assessing-cross-linguistic-utility-abstract/) *— our card · 2024 · Computational Linguistics*
3. [Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis](https://arxiv.org/abs/2409.04964) *— 2024 · arXiv:2409.04964*
4. [Classifying Divergences in Cross-lingual AMR Pairs](https://aclanthology.org/2021.law-1.6/) *— 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop*
5. [Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques](https://aclanthology.org/2020.lrec-1.496/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
6. [Cross-lingual Semantic Representation for NLP with UCCA](https://md.mova.elamur.ai/free/en/docs/papers/abend-2020-cross-lingual-semantic-representation-nlp/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts*
7. [Detecting Non-literal Translations by Fine-tuning Cross-lingual Pre-trained Language Models](https://aclanthology.org/2020.coling-main.522/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
8. [Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences](https://aclanthology.org/2020.acl-main.109/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
9. [K-SNACS: Annotating Korean Adposition Semantics](https://aclanthology.org/2020.dmr-1.6/) *— 2020 · Proceedings of the Second International Workshop on Designing Meaning Representations*
10. [Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation](https://aclanthology.org/K19-1028/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
11. [Construction of a Multilingual Corpus Annotated with Translation Relations](https://aclanthology.org/W18-3814/) *— 2018 · Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing*
12. ahrenberg-2021-translation-competence-machines-study-adjectives
13. chang-2023-characterizing-measuring-linguistic-dataset-drift
14. winiwarter-2024-volare-visual-ontological-language-representation
15. zhai-2018-construction-d-un-corpus-multilingue
16. zhai-2019-classification-automatique-des-procedes-de
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