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* Started structural rewriteKelly Rauchenberger2017-01-161-1/+3
| | | | | | | | | | | | | | | | | | | | The new object structure was designed to build on the existing WordNet structure, while also adding in all of the data that we get from other sources. More information about this can be found on the project wiki. The generator has already been completely rewritten to generate a datafile that uses the new structure. In addition, a number of indexes are created, which does double the size of the datafile, but also allows for much faster lookups. Finally, the new generator is written modularly and is a lot more readable than the old one. The verbly interface to the new object structure has mostly been completed, but has not been tested fully. There is a completely new search API which utilizes a lot of operator overloading; documentation on how to use it should go up at some point. Token processing and verb frames are currently unimplemented. Source for these have been left in the repository for now.
* Removed nlohmann/json submoduleKelly Rauchenberger2016-11-271-1/+1
| | | | The submodule contained around 73MB of benchmarks and tests that are not necessary for inclusion in this project. Thus, the submodule has been removed, and the 2.0.7 release of nlohmann/json has been added to the repository.
* Added pronunciation syllable count and stress structureKelly Rauchenberger2016-05-301-0/+1
| | | | Also updated CMakeLists.txt such that including projects don't have to include sqlite3.
* Added sqlite3 version restriction (for WITH clauses)Kelly Rauchenberger2016-03-291-2/+2
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* Added verb framesKelly Rauchenberger2016-03-241-1/+2
| | | | | | | | | | In addition: - Added prepositions. - Rewrote a lot of the query interface. It now, for a lot of relationships, supports nested AND, OR, and NOT logic. - Rewrote the token class. It is now a union-like class instead of being polymorphic, which means smart pointers are no longer necessary. - Querying with regards to word derivation has been temporarily removed. - Sentinel values are now supported for all word types. - The VerbNet data retrieved from http://verbs.colorado.edu/~mpalmer/projects/verbnet/downloads.html was found to not be perfectly satisfactory in some regards, especially regarding adjective phrases. A patch file is now included in the repository describing the changes made to the VerbNet v3.2 download for the canonical verbly datafile.
* Added word derivational relationships (kind of eh at the moment) and moved ↵Kelly Rauchenberger2016-03-161-0/+9
verbly into its own directory