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@@ -7,9 +7,6 @@ sdk: static
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  pinned: true
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  license: mit
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- ![CHC Logo Red.jpg](https://s3.amazonaws.com/moonup/production/uploads/64604e7110ab646c08e93494/Pm7KY0bPb_oaPNrHgNJkL.jpeg)
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  ![mermaid-diagram-2023-06-08-231629.png](https://s3.amazonaws.com/moonup/production/uploads/64604e7110ab646c08e93494/nyCKNCTccrTQXbZPhjurs.png)
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@@ -41,4 +38,6 @@ This research proposal aims to develop an innovative approach for language retri
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  2. Improved interoperability of the language retrieval system, surpassing the limitations of binary fragmenting techniques.
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  3. Resource-efficient language retrieval process, enabling faster and more precise retrieval of relevant information.
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  4. Insights into the potential applications and advantages of emoji-to-Kaktovik translation in various language processing tasks.
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- 5. Collaboration and knowledge exchange opportunities with Microsoft AI Research and prospective universities in advancing the field of interpretable and interoperable language retrieval.
 
 
 
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  pinned: true
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  license: mit
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  ![mermaid-diagram-2023-06-08-231629.png](https://s3.amazonaws.com/moonup/production/uploads/64604e7110ab646c08e93494/nyCKNCTccrTQXbZPhjurs.png)
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  2. Improved interoperability of the language retrieval system, surpassing the limitations of binary fragmenting techniques.
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  3. Resource-efficient language retrieval process, enabling faster and more precise retrieval of relevant information.
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  4. Insights into the potential applications and advantages of emoji-to-Kaktovik translation in various language processing tasks.
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+ 5. Collaboration and knowledge exchange opportunities with Microsoft AI Research and prospective universities in advancing the field of interpretable and interoperable language retrieval.
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+
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+ 6. ![CHC Logo Red.jpg](https://s3.amazonaws.com/moonup/production/uploads/64604e7110ab646c08e93494/Pm7KY0bPb_oaPNrHgNJkL.jpeg)