| Commit message (Collapse) | Author | Age | Files | Lines |
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Rhyme detection now ensures that any rhymes it finds are perfect rhymes and not identical rhymes. Rhyme detection is also now a lot faster because additional information is stored in the datafile.
Also fixed a bug in the query interface (and the generator) that could cause incorrect queries to be executed.
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Datafile change: nouns now know how many images are associated with them on ImageNet, and also have their WordNet synset ID saved so that you can query for images of that noun via the ImageNet API. So far, verbly only exposes the ImageNet API URL, and doesn't actually interact with it itself. This may be changed in the future.
The query interface had a huge issue in which multiple instances of the same condition would overwrite each other. This has been fixed.
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adjectives, and adverbs
Word complexity refers to the number of words in a noun, adjective, or adverb.
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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.
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verbly into its own directory
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Nouns, adjectives, and adverbs now have inflected forms. A large number of WordNet word relationships (all noun-noun relationships, plus synonymy and antonymy for all word types except verbs) have been added. Additionally, CMUDICT is now being used to store word pronunciations for rhyming purposes. Verbly is now also a compiled library rather than being header-only due to the complexity of the query interface.
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Currently, the generator:
- Uses AGID to create entries for verb words and their inflections
- Uses WordNet to create entries for adjective, adverb, and noun senses
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verbly is intended to be a general use natural language generation library. Here, I'm using it to simply generate random verbs or adjectives. A schema for the sqlite database is provided, and for testing I manually added data. A generator program is being written that will generate a database from WordNet, VerbNet, PropBank, and AGID data.
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