metadata
language:
- ind
- eng
pretty_name: Identic
task_categories:
- machine-translation
- pos-tagging
tags:
- machine-translation
- pos-tagging
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).
Languages
ind, eng
Supported Tasks
Machine Translation, Pos Tagging
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/identic", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("identic", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("identic"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")
More details on how to load the seacrowd library can be found here.
Dataset Homepage
https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0005-BF85-F
Dataset Version
Source: 1.0.0. SEACrowd: 2024.06.20.
Dataset License
CC BY-NC-SA 3.0
Citation
If you are using the Identic dataloader in your work, please cite the following:
@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.",
}
@article{lovenia2024seacrowd,
title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages},
author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
year={2024},
eprint={2406.10118},
journal={arXiv preprint arXiv: 2406.10118}
}