SOTAVerified

Thai Word Segmentation

Thai word segmentation

Papers

Showing 1–8 of 8 papers

TitleStatusHype
Domain Adaptation of Thai Word Segmentation Models using Stacked EnsembleCode1
Handling Cross- and Out-of-Domain Samples in Thai Word SegmentationCode1
ThaiLMCut: Unsupervised Pretraining for Thai Word SegmentationCode1
Multi-Candidate Word Segmentation using Bi-directional LSTM Neural NetworksCode0
LATTE: Lattice ATTentive Encoding for Character-based Word SegmentationCode0
Character-based Thai Word Segmentation with Multiple AttentionsCode0
AttaCut: A Fast and Accurate Neural Thai Word SegmenterCode0
Syllable-based Neural Thai Word Segmentation—0
Show:102550

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LATTE (Linguistic units, lattices, PTMs, GNNs)F1-Score0.99—Unverified
2Multiple Attentions (char-word-cc)F1-Score0.99—Unverified
3ThaiLMCutF1-Score0.99—Unverified
4AttaCut-SCF1-Score0.98—Unverified
5Stacked Ensemble (CRF)F1-Score0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1Stacked Ensemble (CRF)F1-score0.95—Unverified