80 citations · 116 across the 8 of their papers we have counts for
8 papers
FastThaiG2P: Lightning-fast Thai Grapheme-to-phoneme Conversion for Voice Agent Pipelines
Charin Polpanumas
FastThaiG2P provides sub-millisecond Thai grapheme-to-phoneme conversion for text-to-speech pipelines (International Phonetic Alphabet and Kokoro-TTS conventions) using a PyThaiNLP…
AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
Meiyun Wang, Charin Polpanumas
We propose AdaRec, a few-shot in-context learning framework that leverages large language models for an adaptive personalized recommendation. AdaRec introduces narrative profiling,…
Segment Discovery: Enhancing E-commerce Targeting
Qiqi Li, Roopali Singh, Charin Polpanumas +3
Modern e-commerce services frequently target customers with incentives or interventions to engage them in their products such as games, shopping, video streaming, etc. This custome…
ThaiCoref: Thai Coreference Resolution Dataset
Pontakorn Trakuekul, Wei Qi Leong, Charin Polpanumas +3
While coreference resolution is a well-established research area in Natural Language Processing (NLP), research focusing on Thai language remains limited due to the lack of large a…
Thai Universal Dependency Treebank
Panyut Sriwirote, Wei Qi Leong, Charin Polpanumas +4
Automatic dependency parsing of Thai sentences has been underexplored, as evidenced by the lack of large Thai dependency treebanks with complete dependency structures and the lack…
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…
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…