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Update README.md
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README.md
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@@ -25,4 +25,6 @@ For normalization, we adapted the [Regina Normalizer](https://github.com/grammat
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### Phonemization
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Phonemization was conducted using [IceG2P](https://github.com/grammatek/ice-g2p), which is also based on a BI-LSTM model. We made adaptations to ensure the IPA phoneset output aligns with the overall phoneset used in other PL-Bert datasets. Initially, we created and refined a new vocabulary from both the Wikipedia and News1 corpora. Following this, the BI-LSTM model was employed to generate phonetic transcriptions for the dictionary. We also enhanced stress labeling and incorporated secondary stresses after conducting compound analysis. A significant byproduct of this effort is a considerably improved G2P dictionary with more than 2.1 million transcriptions, which we plan to integrate into the G2P module and various other open-source projects involving Icelandic G2P.
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### Phonemization
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Phonemization was conducted using [IceG2P](https://github.com/grammatek/ice-g2p), which is also based on a BI-LSTM model. We made adaptations to ensure the IPA phoneset output aligns with the overall phoneset used in other PL-Bert datasets. Initially, we created and refined a new vocabulary from both the Wikipedia and News1 corpora. Following this, the BI-LSTM model was employed to generate phonetic transcriptions for the dictionary. We also enhanced stress labeling and incorporated secondary stresses after conducting compound analysis. A significant byproduct of this effort is a considerably improved G2P dictionary with more than 2.1 million transcriptions, which we plan to integrate into the G2P module and various other open-source projects involving Icelandic G2P.
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Ultimately, to ensure textual coherence, all paragraphs with incorrect Grapheme-to-Phoneme (G2P) transcriptions were excluded from the dataset.
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