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  As part of the ITANONG project's 10 billion-token Tagalog dataset, we have introduced a collection of pre-trained embedding models. These models were trained using the Formal text dataset from the renowned corpus which has been thoroughly detailed in our paper. Details of the embedding models can be seen below:
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- ```{=latex}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- \usepackage{multirow}
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- \begin{table}[h]
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- \centering
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- \begin{tabular}{|c|c|c|c|}
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- \hline
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- Embedding Technique & Variant & Model File Format & Embedding Size \\ \hline
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- \multirow{24}{*}{Word2Vec} & \multirow{12}{*}{Skipgram} & \multirow{6}{*}{.bin} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \cline{3-4}
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- & & \multirow{6}{*}{.txt} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \cline{2-4}
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- & \multirow{12}{*}{CBOW} & \multirow{6}{*}{.bin} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \cline{3-4}
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- & & \multirow{6}{*}{.txt} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \hline
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- \multirow{24}{*}{FastText} & \multirow{12}{*}{Skipgram} & \multirow{6}{*}{.bin} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \cline{3-4}
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- & & \multirow{6}{*}{.txt} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \cline{2-4}
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- & \multirow{12}{*}{CBOW} & \multirow{6}{*}{.bin} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \cline{3-4}
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- & & \multirow{6}{*}{.txt} & 20 \\ \cline{4-4}
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- & & & 30 \\ \cline{4-4}
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- & & & 50 \\ \cline{4-4}
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- & & & 100 \\ \cline{4-4}
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- & & & 200 \\ \cline{4-4}
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- & & & 300 \\ \hline
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- \end{tabular}
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- \end{table}
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-
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- ```
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-
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  ## Training Details
 
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  As part of the ITANONG project's 10 billion-token Tagalog dataset, we have introduced a collection of pre-trained embedding models. These models were trained using the Formal text dataset from the renowned corpus which has been thoroughly detailed in our paper. Details of the embedding models can be seen below:
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+ | **Embedding Technique** | **Variant** | **Model File Format** | **Embedding Size** |
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+ |:--------------------------:|:--------------------------:|:---------------------:|:------------------:|
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+ | \multirow{24}{*}{Word2Vec} | \multirow{12}{*}{Skipgram} | \multirow{6}{*}{.bin} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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+ | | | \multirow{6}{*}{.txt} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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+ | | \multirow{12}{*}{CBOW} | \multirow{6}{*}{.bin} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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+ | | | \multirow{6}{*}{.txt} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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+ | \multirow{24}{*}{FastText} | \multirow{12}{*}{Skipgram} | \multirow{6}{*}{.bin} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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+ | | | \multirow{6}{*}{.txt} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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+ | | \multirow{12}{*}{CBOW} | \multirow{6}{*}{.bin} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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+ | | | \multirow{6}{*}{.txt} | 20 |
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+ | | | | 30 |
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+ | | | | 50 |
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+ | | | | 100 |
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+ | | | | 200 |
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+ | | | | 300 |
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  ## Training Details