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README.md

@@ -5,4 +5,47 @@ tags:
 language:
 - ind
 - eng
----
+---
+
+IDENTIC is an Indonesian-English parallel corpus for research purposes.
+The corpus is a bilingual corpus paired with English. The aim of this work is to build and provide
+researchers a proper Indonesian-English textual data set and also to promote research in this language pair.
+The corpus contains texts coming from different sources with different genres.
+Additionally, the corpus contains tagged texts that follows MorphInd tagset (Larasati et. al., 2011).
+
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```@inproceedings{larasati-2012-identic,
+    title = "{IDENTIC} Corpus: Morphologically Enriched {I}ndonesian-{E}nglish Parallel Corpus",
+    author = "Larasati, Septina Dian",
+    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
+    month = may,
+    year = "2012",
+    address = "Istanbul, Turkey",
+    publisher = "European Language Resources Association (ELRA)",
+    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/644_Paper.pdf",
+    pages = "902--906",
+    abstract = "This paper describes the creation process of an Indonesian-English parallel corpus (IDENTIC).
+    The corpus contains 45,000 sentences collected from different sources in different genres.
+    Several manual text preprocessing tasks, such as alignment and spelling correction, are applied to the corpus
+    to assure its quality. We also apply language specific text processing such as tokenization on both sides and
+    clitic normalization on the Indonesian side. The corpus is available in two different formats: ‘plain',
+    stored in text format and ‘morphologically enriched', stored in CoNLL format. Some parts of the corpus are
+    publicly available at the IDENTIC homepage.",
+}
+```
+
+## License
+
+CC BY-NC-SA 3.0
+
+## Homepage
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)