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README.md

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+---
+license: unknown
+tags:
+- machine-translation
+language:
+- ind
+- abl
+---
+
+# parallel_id_nyo
+
+Dataset that contains Indonesian - Lampung language pairs.
+
+
+
+The original data should contains 3000 rows, unfortunately,
+
+not all of the instances in the original data is aligned perfectly.
+
+Thus, this data only have the aligned ones, which only contain 1727 pairs.
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```
+@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-study,
+respectively, namely 40.97 %, 41.80 % and 45.26 %.}
+}
+```
+
+## License
+
+Unknown
+
+## Homepage
+
+[https://drive.google.com/drive/folders/1oNpybrq5OJ_4Ne0HS5w9eHqnZlZASpmC?usp=sharing](https://drive.google.com/drive/folders/1oNpybrq5OJ_4Ne0HS5w9eHqnZlZASpmC?usp=sharing)
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)