



How do different FST toolkits compare in terms of features and performance?
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what is fst Informational
- How can the theoretical understanding of FSTs be further deepened? What are some novel applications of FSTs that have not yet been explored?
- How can FSTs be used for modeling and analyzing biological networks? What are the limitations of using FSTs for very large or highly dynamic networks?
- What are the benefits of combining FSTs and machine learning? What are the challenges in developing hybrid FST-ML systems?
- What are weighted FSTs?
- How can FSTs be used for topic modeling?
- What are some connections between FSTs and linguistics from the early days of NLP? How have technological advancements influenced the development and application of FSTs?
- How do different FST representations affect performance? What are some advanced topics in FST theory?
- What are some best practices for designing and implementing FSTs? How does the size of an FST affect its performance?
- How can FSTs be used for computational phonology to model sound changes? What are the formalisms used to represent phonological rules in FSTs?
- What is the reversal of an FST? What is the Kleene closure of an FST?
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