Difference between revisions of "Hypergraph Format"
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limits that are in place to prevent malicious data from having the PB | limits that are in place to prevent malicious data from having the PB | ||
parser allocate too much memory" | parser allocate too much memory" | ||
− | * "You typically have to create a full hypergraph protocol buffer object before you can serialize it, so you either have to use the PB data structures | + | * "You typically have to create a full hypergraph protocol buffer object before you can serialize it, so you either have to use the PB data structures internally in your code or you have to copy your data structure. While doing this copy, you can end up with two copies of the forest in memory, which is bad for memory usage." |
− | internally in your code or you have to copy your data structure. While | ||
− | doing this copy, you can end up with two copies of the forest in | ||
− | memory, which is bad for memory usage." | ||
== SLF (Standard Lattice Format) == | == SLF (Standard Lattice Format) == | ||
[http://labrosa.ee.columbia.edu/doc/HTKBook21/node257.html SLF Specification] | [http://labrosa.ee.columbia.edu/doc/HTKBook21/node257.html SLF Specification] |
Revision as of 18:43, 6 November 2010
JSON
Pro:
- Implementations in every language (often packaged with language).
- Human readable
Con:
- Space inefficiency
Protocol Buffers
Pro:
- Conversion to and from JSON (protobuf-json)
- Very fast to read (particularly in C++ and Java, hopefully soon in python)
- Very space efficient
- Implementations in every language (although requires a separate library)
Con:
- "It's really easy to get up to some of the data size
limits that are in place to prevent malicious data from having the PB parser allocate too much memory"
- "You typically have to create a full hypergraph protocol buffer object before you can serialize it, so you either have to use the PB data structures internally in your code or you have to copy your data structure. While doing this copy, you can end up with two copies of the forest in memory, which is bad for memory usage."