mlsanityData to 14 Oct 2026

CaMEL: Case Marker Extraction without Labels

arXiv 2203.10010 ↗First posted 18 Mar 2022cs.CLcited by 3

Not on the map. Why?

Abstract (arXiv)

We introduce CaMEL (Case Marker Extraction without Labels), a novel and challenging task in computational morphology that is especially relevant for low-resource languages. We propose a first model for CaMEL that uses a massively multilingual corpus to extract case markers in 83 languages based only on a noun phrase chunker and an alignment system. To evaluate CaMEL, we automatically construct a silver standard from UniMorph. The case markers extracted by our model can be used to detect and visualise similarities and differences between the case systems of different languages as well as to annotate fine-grained deep cases in languages in which they are not overtly marked.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 10 of its 36 references that are in the map. First posted on arXiv 18 Mar 2022.

Builds on

10 of 36 references.

References · 10

  1. 2020SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddingscited by 156
  2. 2018UniMorph 2.0: Universal Morphologycited by 42
  3. 2017Cross-lingual, Character-Level Neural Morphological Taggingcited by 17
  4. 2017Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languagescited by 13
  5. 2020Automatic Extraction of Rules Governing Morphological Agreementcited by 9
  6. 2018Neural Factor Graph Models for Cross-lingual Morphological Taggingcited by 8
  7. 2020Unsupervised Morphological Paradigm Completioncited by 8
  8. 2021Evaluating the Morphosyntactic Well-formedness of Generated Textscited by 8
  9. 2020The Paradigm Discovery Problemcited by 6
  10. 2020The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completioncited by 4

Built on by

Cited by year

Citing papers per year: 2023: 3.

3 papers.

  1. 2023A Crosslingual Investigation of Conceptualization in 1335 Languagescited by 11
  2. 2023Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphscited by 11
  3. 2023Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Modelcited by 9