mlsanityData to 7 Oct 2026

Can You Traducir This? Machine Translation for Code-Switched Input

arXiv 2105.04846 ↗First posted 11 May 2021cs.CLcited by 21

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Abstract (arXiv)

Code-Switching (CSW) is a common phenomenon that occurs in multilingual geographic or social contexts, which raises challenging problems for natural language processing tools. We focus here on Machine Translation (MT) of CSW texts, where we aim to simultaneously disentangle and translate the two mixed languages. Due to the lack of actual translated CSW data, we generate artificial training data from regular parallel texts. Experiments show this training strategy yields MT systems that surpass multilingual systems for code-switched texts. These results are confirmed in an alternative task aimed at providing contextual translations for a L2 writing assistant.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 24 of its 58 references that are in the map. First posted on arXiv 11 May 2021.

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24 of 58 references.

References · 24

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12 more
  1. 2020LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluationcited by 92
  2. 2019A Survey of Code-switched Speech and Language Processingcited by 73
  3. 2019Training Neural Machine Translation To Apply Terminology Constraintscited by 73
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  6. 2019Code-Switching for Enhancing NMT with Pre-Specified Translationcited by 53
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Citing papers per year: 2021: 1; 2022: 9; 2023: 4; 2024: 3; 2025: 4.

21 papers.

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  1. 2022The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challengescited by 35
  2. 2022End-to-End Speech Translation for Code Switched Speechcited by 26
  3. 2022ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - Englishcited by 13
  4. 2022CALCS 2021 Shared Task: Machine Translation for Code-Switched Datacited by 9
  5. 2022Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentationcited by 9
  6. 2022Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Textcited by 7
  7. 2023Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Modelscited by 7
  8. 2022Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaicancited by 3
  9. 2023Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Studycited by 3
  10. 2025Low-resource Machine Translation for Code-switched Kazakh-Russian Language Paircited by 3
  11. 2021One Source, Two Targets: Challenges and Rewards of Dual Decodingcited by 2
  12. 2024Grammatical Error Correction for Code-Switched Sentences by Learners of Englishcited by 2
9 more
  1. 2024On Creating an English-Thai Code-switched Machine Translation in Medical Domaincited by 2
  2. 2025Conditioning LLMs to Generate Code-Switched Textcited by 2
  3. 2022Automatic Identification of Motivation for Code-Switching in Speech Transcriptscited by 1
  4. 2023Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learningcited by 1
  5. 2023The Effect of Alignment Objectives on Code-Switching Translationcited by 1
  6. 2024CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation Unitscited by 1
  7. 2025The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASRcited by 1
  8. 2025Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignmentcited by 1
  9. 2022Domain Curricula for Code-Switched MT at MixMT 2022cited by 0