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-# Thai G2P
-
-Thai Grapheme-to-Phoneme (Thai G2P) based on Deep Learning (Seq2Seq model)
-
-## v0.1
-
-**Model Details**
-
-- Developer: Wannaphong Phatthiyaphaibun
-- This report author: Wannaphong Phatthiyaphaibun
-- Model date: 2020-08-20
-- Model version: 0.1
-- Used in PyThaiNLP version: 2.2+
-- Filename: `~/pythainlp-data/thaig2p-0.1.tar`
-- Pull request GitHub: [https://github.com/PyThaiNLP/pythainlp/pull/377](https://github.com/PyThaiNLP/pythainlp/pull/377)
-- GitHub: [https://github.com/wannaphong/thai-g2p](https://github.com/wannaphong/thai-g2p)
-- Train notebook: [https://github.com/wannaphong/thai-g2p/blob/master/train.ipynb](https://github.com/wannaphong/thai-g2p/blob/master/train.ipynb)
-- Dataset: [wiktionary-11-2-2020.tsv](https://github.com/wannaphong/thai-g2p/blob/master/wiktionary-11-2-2020.tsv)
-- Seq2Seq model
-- License: CC0
-
-**Intended Use**
-
-Grapheme-to-Phoneme conversion tool.
-
-**Factors**
-
-- Based on thai grapheme-to-phoneme conversion problems.
-
-**Metrics**
-
-f1-score.
-
-**Training Data**
-
-wiktionary trainset
-
-**Evaluation Data**
-
-wiktionary testset
-
-**Quantitative Analyses**
-
-```
-F1 (macro-average) =  0.9415941561267093
-EM =  0.71
-EM (Character-level) =  0.8660247630539959
-save best model em score=0.71 at epoch=1148
-Save model at epoch  1148
-Epoch: 1149 | Time: 2m 55s
-	Train Loss: 0.352 | Train PPL:   1.422
-	 Val. Loss: 0.512 |  Val. PPL:   1.669
-epoch=1149, teacher_forcing_ratio=0.4
-```
-
-**Ethical Considerations**
-
-This model is based on the Thai wiktionary Dump (include bias from Thai wiktionary).
-
-**Caveats and Recommendations**
-
-- 1 Thai word only
\ No newline at end of file