Summary of Uriel+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base, by Aditya Khan et al.
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base
by Aditya Khan, Mason Shipton, David Anugraha, Kaiyao Duan, Phuong H. Hoang, Eric Khiu, A. Seza Doğruöz, En-Shiun Annie Lee
First submitted to arxiv on: 27 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces URIEL+, an enhanced version of the widely used knowledge base URIEL, which provides vector representations for 7970 languages, along with distance measures for 4005 languages accessible via the lang2vec tool. URIEL+ addresses limitations by expanding typological feature coverage to 2898 languages and improving user experience through robust and customizable distance calculations. This upgraded version demonstrates competitive performance on downstream tasks and aligns better with linguistic distance studies. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes a popular language database, called URIEL, even better! It’s like a big dictionary that helps computers understand 7970 different languages. The new version, called URIEL+, has more information about each language and makes it easier for people to use. It also works well with other computer programs and matches what linguists have found about how languages are related. |
Keywords
» Artificial intelligence » Knowledge base
