80 citations · 116 across the 5 of their papers we have counts for
6 papers
Zero-shot Dependency Parsing with Unsupervised Cross-Lingual Bootstrapping
Lalita Lowphansirikul, Attapol Rutherford, Jian Gang Ngui +2
Pre-trained language models (PLMs) with encoder-based architectures have shown impressive capabilities in zero-shot cross-lingual transfer for various language understanding tasks.…
WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai
Peerat Limkonchotiwat, Pume Tuchinda, Lalita Lowphansirikul +5
Large language models excel at instruction-following in English, but their performance in low-resource languages like Thai remains underexplored. Existing benchmarks often rely on…
PyThaiNLP: Thai Natural Language Processing in Python
Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas +6
We present PyThaiNLP, a free and open-source natural language processing (NLP) library for Thai language implemented in Python. It provides a wide range of software, models, and da…
An Efficient Self-Supervised Cross-View Training For Sentence Embedding
Peerat Limkonchotiwat, Wuttikorn Ponwitayarat, Lalita Lowphansirikul +3
Self-supervised sentence representation learning is the task of constructing an embedding space for sentences without relying on human annotation efforts. One straightforward appro…
WangchanBERTa: Pretraining transformer-based Thai Language Models
Lalita Lowphansirikul, Charin Polpanumas, Nawat Jantrakulchai +1
Transformer-based language models, more specifically BERT-based architectures have achieved state-of-the-art performance in many downstream tasks. However, for a relatively low-res…
scb-mt-en-th-2020: A Large English-Thai Parallel Corpus
Lalita Lowphansirikul, Charin Polpanumas, Attapol T. Rutherford +1
The primary objective of our work is to build a large-scale English-Thai dataset for machine translation. We construct an English-Thai machine translation dataset with over 1 milli…