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  # Azerbaijani Sentence Similarity Based on BERT
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  This model is developed by Alas Development Center and is tailored for the specific use case of sentence similarity in the Azerbaijani language. It employs the bert-base-multilingual-cased architecture, fine-tuned on a Azerbaijani sentence similarity dataset. The primary function of this model is to predict the similarity score between two sentences, which can be highly beneficial in various NLP applications such as information retrieval, question answering, and content analysis.
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  We express our gratitude to our team who participated in the development, training, and evaluation phases of this model. Their dedication and hard work have been instrumental in advancing Azerbaijani language processing technologies.
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- This model, used in one of our projects, was developed without the allocation of extensive resources. We believe that with more resources, a better outcome is achievable. It's worth mentioning that this model marks the first endeavor in exploring semantic similarity within the Azerbaijani language context. As such, there is considerable potential for further refinement and improvement, which could significantly enhance its performance and applicability in various fields.
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+ language:
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+ - az
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+ tags:
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+ - sentence similarity
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+ ---
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  # Azerbaijani Sentence Similarity Based on BERT
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  This model is developed by Alas Development Center and is tailored for the specific use case of sentence similarity in the Azerbaijani language. It employs the bert-base-multilingual-cased architecture, fine-tuned on a Azerbaijani sentence similarity dataset. The primary function of this model is to predict the similarity score between two sentences, which can be highly beneficial in various NLP applications such as information retrieval, question answering, and content analysis.
 
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  We express our gratitude to our team who participated in the development, training, and evaluation phases of this model. Their dedication and hard work have been instrumental in advancing Azerbaijani language processing technologies.
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+ This model, used in one of our projects, was developed without the allocation of extensive resources. We believe that with more resources, a better outcome is achievable. It's worth mentioning that this model marks the first endeavor in exploring semantic similarity within the Azerbaijani language context. As such, there is considerable potential for further refinement and improvement, which could significantly enhance its performance and applicability in various fields.