TGen
A statistical natural language generator for spoken dialogue systems, supporting both A*-search and seq2seq algorithms.
What is TGen?
TGen is a statistical natural language generator specifically designed for spoken dialogue systems. It converts structured meaning representations (dialogue acts) into natural language responses using either A*-search-based planning or sequence-to-sequence neural networks. The project addresses the challenge of generating fluent, contextually appropriate language in conversational AI applications.
Researchers and developers working on spoken dialogue systems, conversational AI, and natural language generation who need to produce natural-sounding responses from structured data.
TGen offers two complementary generation algorithms in one package, with the seq2seq approach providing higher performance in both speed and quality. Its integration with the Treex NLP toolkit for surface realization and support for context-aware generation make it particularly suitable for advanced dialogue systems.
Overview
Statistical NLG for spoken dialogue systems
Use Cases
Best For
- Generating natural language responses in spoken dialogue systems
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