This is the Windows app named seq2seq-couplet whose latest release can be downloaded as seq2seq-coupletsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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seq2seq-couplet
DESCRIPTION
seq2seq-couplet is a deep learning application that generates Chinese couplet responses using a sequence-to-sequence model built with TensorFlow. Its purpose is not general machine translation, but a specialized text generation task in which the model produces a matching second line for a given first line in the style of traditional couplets. The repository includes the code needed to train the model, configure file paths and hyperparameters, and evaluate progress through loss and BLEU score tracking. It also supports serving the trained model through a web service, allowing users to interact with the system after training is complete. In addition to local execution, the project includes Docker files, which make it easier to package and deploy the application in a more reproducible way. The repository also points users to an external dataset source and documents vocabulary formatting requirements for custom datasets, showing that it is meant for both experimentation and extension.
Features
- Seq2seq-based couplet generation with TensorFlow
- Training workflow with configurable hyperparameters
- BLEU score and loss monitoring during training
- Web service deployment through a server script
- Docker support for containerized execution
- Ability to use external or custom datasets
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/seq2seq-couplet.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
