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Framework-Faster-SMT-Decoder
DebajyotyBanik/Framework-Faster-SMT-Decoder
Framework-Faster-SMT-Decoder is a machine learning model from DebajyotyBanik. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as openrail.
Our proposed framework can be applied to utilize the beauty of SMT system for building end-to-end translation architecture. The widely used statistical machine translation toolkit (moses) can also be improved with the…
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Updated Aug 20, 2023
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At a glance
- License
- openrail
- Access
- Public
- Created
- Aug 20, 2023
- Updated
- Aug 20, 2023
- SHA
- 97715f4a
Model card
From the Hugging Face model README
Our proposed framework can be applied to utilize the beauty of SMT system for building end-to-end translation architecture. The widely used statistical machine translation toolkit (moses) can also be improved with the proposed framework. Statistical and neural based classifiers are introduced as a bridge between the SMT decoder and random input text. Here, the required machine translation parameters for decoding are dynamically modified as per requirements for better resource utilization.
Code: The source code for the proposed work Dataset and text_data: Prepared datasets
The detailed readme is available inside the respective folders.
Cite:
The Decoder Framework for Optimized Pruning Strategy in Faster Statistical Machine Translation Debajyoty Banik
- License
- openrail
- Created
- Aug 20, 2023
- Updated
- Aug 20, 2023