Archives for WFST
Last year, Facebook open-sourced graph transformer networks (GTN), a framework for automatic differentiation with a weighted finite-state transducer graph (WFSTs). To put things in perspective, GTN is to WFSTs what PyTorch is for automatic differentiation with tensors. GTN can be used to train graph-based machine learning models effectively. What are WFSTs? WFSTs are a widely…
The post Graph Transformer Network: A New Framework For Language & Speech Processing appeared first on Analytics India Magazine.
Facebook recently open-sourced the graph transformer networks (GTN) framework for effectively training graph-based learning models. In this case, GTN will be used in automatic differentiation of weighted finite-state transducers (WFSTs), which is an expressive and powerful graph. With GTN, researchers can easily construct WFSTs, visualize them, and perform operations on them This framework enables the…
The post Facebook’s New Open Source Framework For Training Graph-Based ML Models appeared first on Analytics India Magazine.