mlsanityData to 7 Oct 2026

A study of conceptual language similarity: comparison and evaluation

arXiv 2305.13401 ↗First posted 22 May 2023cs.CLcited by 3

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Abstract (arXiv)

An interesting line of research in natural language processing (NLP) aims to incorporate linguistic typology to bridge linguistic diversity and assist the research of low-resource languages. While most works construct linguistic similarity measures based on lexical or typological features, such as word order and verbal inflection, recent work has introduced a novel approach to defining language similarity based on how they represent basic concepts, which is complementary to existing similarity measures. In this work, we study the conceptual similarity in detail and evaluate it extensively on a binary classification task.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 10 of its 33 references that are in the map. First posted on arXiv 22 May 2023.

Builds on

10 of 33 references.

References · 10

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  4. 2016Enriching Word Vectors with Subword Informationcited by 1,578
  5. 2019Cross-lingual Language Model Pretrainingcited by 1,088
  6. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 789
  7. 2020Probing Multilingual BERT for Genetic and Typological Signalscited by 26
  8. 2023A Crosslingual Investigation of Conceptualization in 1335 Languagescited by 11
  9. 2023Language Embeddings Sometimes Contain Typological Generalizationscited by 9
  10. 2021Language Embeddings for Typology and Cross-lingual Transfer Learningcited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 1.

3 papers.

  1. 2023OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretrainingcited by 37
  2. 2023mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Modelscited by 0
  3. 2026Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASRcited by 0