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@@ -6,7 +6,7 @@ tags:
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  - punctuation restoration
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  - punctuation prediction
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  widget:
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- text: "Türkiye toprakları üzerindeki ilk yerleşmeler Yontma Taş Devri'nde başlar Doğu Trakya'da Traklar olmak üzere Hititler Frigler Lidyalılar ve Dor istilası sonucu Yunanistan'dan kaçan Akalar tarafından kurulan İyon medeniyeti gibi çeşitli eski Anadolu medeniyetlerinin ardından Makedonya kralı Büyük İskender'in egemenliğiyle ve fetihleriyle birlikte Helenistik Dönem başladı"
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  ---
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  # Transformer Based Punctuation Restoration Models for Turkish
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  <p>Liked our work? give us a ⭐ on GitHub!</p>
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  </div>
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- You can find the BERT model used in the paper **Transformer Based Punctuation Restoration for Turkish**. Aim of this work is correctly place pre-decided punctuation marks in a given text. We present three pre-trained transformer models to predict **period(.)**, **comma(,)** and **question(?)** marks for the Turkish language.
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  ## Usage <a class="anchor" id="usage"></a>
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@@ -65,4 +65,18 @@ ConvBERT: https://huggingface.co/uygarkurt/convbert-restore-punctuation-turkish
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  |Score Type| P | R | F1 | P | R | F1 | P | R | F1 | P | R | F1 |
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  | BERT | 0.972602 | 0.947504 | 0.959952 | 0.576145 | 0.700010 | 0.632066 | 0.927642 | 0.911342 | 0.919420 | 0.825506 | 0.852952 | 0.837146 |
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  | ELECTRA | 0.972602 | 0.948689 | 0.960497 | 0.576800 | 0.710208 | 0.636590 | 0.920325 | 0.921074 | 0.920699 | 0.823242 | 0.859990 | 0.839262 |
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- | ConvBERT | 0.972731 | 0.946791 | 0.959585 | 0.576964 | 0.708124 | 0.635851 | 0.922764 | 0.913849 | 0.918285 | 0.824153 | 0.856254 | 0.837907 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - punctuation restoration
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  - punctuation prediction
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  widget:
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+ - text: "Türkiye toprakları üzerindeki ilk yerleşmeler Yontma Taş Devri'nde başlar Doğu Trakya'da Traklar olmak üzere Hititler Frigler Lidyalılar ve Dor istilası sonucu Yunanistan'dan kaçan Akalar tarafından kurulan İyon medeniyeti gibi çeşitli eski Anadolu medeniyetlerinin ardından Makedonya kralı Büyük İskender'in egemenliğiyle ve fetihleriyle birlikte Helenistik Dönem başladı"
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  ---
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  # Transformer Based Punctuation Restoration Models for Turkish
 
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  <p>Liked our work? give us a ⭐ on GitHub!</p>
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  </div>
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+ You can find the BERT model used in the paper [Transformer Based Punctuation Restoration for Turkish](https://ieeexplore.ieee.org/document/10286690). Aim of this work is correctly place pre-decided punctuation marks in a given text. We present three pre-trained transformer models to predict **period(.)**, **comma(,)** and **question(?)** marks for the Turkish language.
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  ## Usage <a class="anchor" id="usage"></a>
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  |Score Type| P | R | F1 | P | R | F1 | P | R | F1 | P | R | F1 |
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  | BERT | 0.972602 | 0.947504 | 0.959952 | 0.576145 | 0.700010 | 0.632066 | 0.927642 | 0.911342 | 0.919420 | 0.825506 | 0.852952 | 0.837146 |
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  | ELECTRA | 0.972602 | 0.948689 | 0.960497 | 0.576800 | 0.710208 | 0.636590 | 0.920325 | 0.921074 | 0.920699 | 0.823242 | 0.859990 | 0.839262 |
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+ | ConvBERT | 0.972731 | 0.946791 | 0.959585 | 0.576964 | 0.708124 | 0.635851 | 0.922764 | 0.913849 | 0.918285 | 0.824153 | 0.856254 | 0.837907 |
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+
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+ ## Citation <a class="anchor" id="citation"></a>
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+ ```
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+ @INPROCEEDINGS{10286690,
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+ author={Kurt, Uygar and Çayır, Aykut},
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+ booktitle={2023 8th International Conference on Computer Science and Engineering (UBMK)},
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+ title={Transformer Based Punctuation Restoration for Turkish},
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+ year={2023},
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+ volume={},
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+ number={},
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+ pages={169-174},
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+ doi={10.1109/UBMK59864.2023.10286690}
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+ }
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+ ```