Pith. sign in

REVIEW

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2203.13357 v1 pith:X2ZNCUPE submitted 2022-03-24 cs.CL

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

classification cs.CL
keywords languagesindonesiachallengesunderrepresentedcurrentdialectsresearchaffect
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialects. Focusing on the languages spoken in Indonesia, the second most linguistically diverse and the fourth most populous nation of the world, we provide an overview of the current state of NLP research for Indonesia's 700+ languages. We highlight challenges in Indonesian NLP and how these affect the performance of current NLP systems. Finally, we provide general recommendations to help develop NLP technology not only for languages of Indonesia but also other underrepresented languages.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.