Pith. sign in

REVIEW

Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response

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 2003.11523 v1 pith:LW2VQX35 submitted 2020-03-09 cs.CL

classification cs.CL
keywords neurallearningmachinereporttransfertranslationapplicationbaseline
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

We report our experiments in building a domain-specific Tigrinya-to-English neural machine translation system. We use transfer learning from other Ge'ez script languages and report an improvement of 1.3 BLEU points over a classic neural baseline. We publish our development pipeline as an open-source library and also provide a demonstration application.

Discussion (0). Continue with ORCID to comment.

Pith tools