Pith. sign in

REVIEW 1 cited by

Towards a general purpose machine translation system for Sranantongo

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

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 2212.06383 v1 pith:3SEMSMA3 submitted 2022-12-13 cs.CL

Just Zwennicker , David Stap This is my paper · ORCID
classification cs.CL
keywords machinetranslationsystemgeneralpurposesranantongobaselinecollection
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Machine translation for Sranantongo (Sranan, srn), a low-resource Creole language spoken predominantly in Surinam, is virgin territory. In this study we create a general purpose machine translation system for srn. In order to facilitate this research, we introduce the SRNcorpus, a collection of parallel Dutch (nl) to srn and monolingual srn data. We experiment with a wide range of proven machine translation methods. Our results demonstrate a strong baseline machine translation system for srn.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Limited-Resource Adapters Are Regularizers, Not Linguists

    cs.CL 2025-05 conditional novelty 6.0 of 10

    Randomly initialized adapters match linguistically selected adapters in low-resource Creole MT, suggesting adapter gains here are regularization, not transfer.

Pith tools