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SEACrowd/parallel_id_nyo

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The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: Not declared in the tag or the card (see datasets with no declared licence)Evidence: README.md at a9eeeff
Licence files: LICENSE, licence not identifiedEvidence: LICENSE at a9eeeff
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

machine-translation

Citation text from the card

@article{Abidin_2021,
doi = {10.1088/1742-6596/1751/1/012036},
url = {https://dx.doi.org/10.1088/1742-6596/1751/1/012036},
year = {2021},
month = {jan},
publisher = {IOP Publishing},
volume = {1751},
number = {1},
pages = {012036},
author = {Z Abidin and  Permata and I Ahmad and  Rusliyawati},
title = {Effect of mono corpus quantity on statistical machine translation
Indonesian - Lampung dialect of nyo},
journal = {Journal of Physics: Conference Series},
abstract = {Lampung Province is located on the island of Sumatera. For the
immigrants in Lampung, they have difficulty in
communicating with the indigenous people of Lampung. As an alternative, both
immigrants and the indigenous people of Lampung speak Indonesian.
This research aims to build a language model from Indonesian language and a
 translation model from the Lampung language dialect of nyo, both models will
 be combined in a Moses decoder.
This research focuses on observing the effect of adding mono corpus to the
 experimental statistical machine translation of
 Indonesian - Lampung dialect of nyo.
This research uses 3000 pair parallel corpus in Indonesia language and
Lampung language dialect of nyo as source language
and uses 3000 mono corpus sentences in Lampung language
dialect of nyo as target language. The results showed that the accuracy
value in bilingual evalution under-study score when using 1000 sentences,
2000 sentences, 3000 sentences mono corpus
show the accuracy value of the bilingual evaluation under-st

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dataset_licence({ "id": "SEACrowd/parallel_id_nyo" })
signal: "unclear"
stated_licence: null
sources: 0