Thai Word Segmentation
7 papers with code • 2 benchmarks • 0 datasets
Thai word segmentation
Benchmarks
These leaderboards are used to track progress in Thai Word Segmentation
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Latest papers
LATTE: Lattice ATTentive Encoding for Character-based Word Segmentation
tchayintr/latte-ptm-ws
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Journal of Natural Language Processing 2023
Our model employs the lattice structure to handle segmentation alternatives and utilizes graph neural networks along with an attention mechanism to attentively extract multi-granularity representation from the lattice for complementing character representations.
ThaiLMCut: Unsupervised Pretraining for Thai Word Segmentation
meanna/ThaiLMCUT
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LREC 2020
We propose ThaiLMCut, a semi-supervised approach for Thai word segmentation which utilizes a bi-directional character language model (LM) as a way to leverage useful linguistic knowledge from unlabeled data.
AttaCut: A Fast and Accurate Neural Thai Word Segmenter
Word segmentation is a fundamental pre-processing step for Thai Natural Language Processing.
Multi-Candidate Word Segmentation using Bi-directional LSTM Neural Networks
earthy123/Multi-Candidate-Word-Segmentation
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As a test-bed, the well-known bidirectional long short-term memory (BiLSTM) units are used with eleven contexts in a deep neural network.
