license: cc-by-nc-sa-3.0
language:
- tha
pretty_name: Orchid Pos
task_categories:
- pos-tagging
tags:
- pos-tagging
The ORCHID corpus is a Thai part-of-speech (POS) tagged dataset, resulting from a collaboration betweenJapan's Communications Research Laboratory (CRL) and Thailand's National Electronics and Computer TechnologyCenter (NECTEC). It is structured at three levels: paragraph, sentence, and word. The dataset incorporates aunique tagset designed for use in multi-lingual machine translation projects, and is tailored to address thechallenges of Thai text, which lacks explicit word and sentence boundaries, punctuation, and inflection.This dataset includes text information along with numbering for retrieval, and employs a probabilistic trigrammodel for word segmentation and POS tagging. The ORCHID corpus is specifically structured to reduce ambiguity inPOS assignments, making it a valuable resource for Thai language processing and computational linguistics research.
Languages
tha
Supported Tasks
Pos Tagging
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/orchid_pos", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("orchid_pos", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("orchid_pos"))
# 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://github.com/wannaphong/corpus_mirror/releases/tag/orchid-v1.0
Dataset Version
Source: 1.0.0. SEACrowd: 2024.06.20.
Dataset License
Creative Commons Attribution Non Commercial Share Alike 3.0 (cc-by-nc-sa-3.0)
Citation
If you are using the Orchid Pos dataloader in your work, please cite the following:
@article{sornlertlamvanich1999building,
title={Building a Thai part-of-speech tagged corpus (ORCHID)},
author={Sornlertlamvanich, Virach and Takahashi, Naoto and Isahara, Hitoshi},
journal={Journal of the Acoustical Society of Japan (E)},
volume={20},
number={3},
pages={189--198},
year={1999},
publisher={Acoustical Society of Japan}
}
@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}
}