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* Flattened selrestrsKelly Rauchenberger2017-02-051-61/+21
| | | | | | | | | | | | | | | Now, selrestrs are, instead of logically being a tree of positive/negative restrictions that are ANDed/ORed together, they are a flat set of positive restrictions that are ORed together. They are stored as strings in a table called selrestrs, just like synrestrs, which makes them a lot more queryable now as well. This change required some changes to the VerbNet data, because we needed to consolidate any ANDed clauses into single selrestrs, as well as convert any negative selrestrs into positive ones. The changes made are detailed on the wiki. Preposition choices are now encoded as comma-separated lists instead of using JSON. This change, along with the selrestrs one, allows us to remove verbly's dependency on nlohmann::json.
* Restructured verb frame schema to be more queryableKelly Rauchenberger2017-01-281-22/+17
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Groups are much less significant now, and they no longer have a database table, nor are they considered a top level object anymore. Instead of containing their own role data, that data is folded into the frames so that it's easier to query; as a result, each group has its own copy of the frames that it contains. Additionally, parts are considered top level objects now, and you can query for frames based on attributes of their indexed parts. Synrestrs are also contained in their own table now, so that parts can be filtered against their synrestrs; they are however not considered top level objects. Created a new type of field, the "join where" or "condition join" field, which is a normal join field that has a built in condition on a specified field. This is used to allow creating multiple distinct join fields from one object to another. This is required for the lemma::form and frame::part joins, because filters for forms of separate inflections should not be coalesced; similarly, filters on differently indexed frame parts should not be coalesced. Queries can now be ordered, ascending or descending, by a field, in addition to randomly as before. This is necessary for accessing the parts of a verb frame in the correct order, but may be useful to an end user as well. Fixed a bug with statement generation in that condition groups were not being surrounded in parentheses, which made mixing OR groups and AND groups generate inaccurate statements. This has been fixed; additionally, parentheses are not placed around the top level condition, and nested condition groups with the same logic type are coalesced, to make query strings as easy to read as possible. Also simplified the form::lemma field; it no longer conditions on the inflection of the form like the lemma::form field does. Also added a debug flag to statement::getQueryString that makes it return a query string with all of the bindings filled in, for debug use only.
* Fixed generator ignoring multiple inflection variantsKelly Rauchenberger2017-01-221-257/+268
| | | | | | Previously, the generator would recognize at most one form per inflection per lemma; now, the generator adds all variants in AGID to the database.
* Removed underscores in two-word literal prepositions in verb framesKelly Rauchenberger2017-01-221-2/+11
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* Moved some generator classes into the main namespaceKelly Rauchenberger2017-01-211-7/+6
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* Started structural rewriteKelly Rauchenberger2017-01-161-1994/+1151
| | | | | | | | | | | | | | | | | | | | 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.
* Added pronunciation syllable count and stress structureKelly Rauchenberger2016-05-301-12/+37
| | | | Also updated CMakeLists.txt such that including projects don't have to include sqlite3.
* Fixed problem with words containing certain charactersKelly Rauchenberger2016-04-181-1/+6
| | | | | | | | The generator previously had a problem wherein it would ignore WordNet lemmas containing certain non-alpha characters (hyphens, slashes, numbers, apostrophes). In addition to these words not being included in the generated datafile, it had the side effect of causing relationships involving the ignored words (e.g. hypernymy, synonymy, etc) to instead be related to the word with id 0, which did not exist. This rarely caused a failure with direct queries; but it caused hierarchal queries (most notably full hyponymy, which is where the error was noticed) to potentially permit far more lemmas than they should have because a very large number of words could be transitively reached through the sentinel word id 0. The generator has been fixed to not ignore the words containing special characters, which removed the word id 0 from most relationships and therefore fixed hierarchal queries. The only remaining word id 0s are as a synonym of "free-flying" (synset 301380571) and as an anti-mannernym of "aerially" (synset 400202718). This is because the WordNet data is malformed in the definitions of two words: "aerial" (synset 301380267) and "marine" (synset 301380721). The generator ignored those two lines, causing the described error, although the latter word being ignored did not cause any other errors. The bug was discovered when the Twitter bot difference (https://github.com/hatkirby/difference) generated a tweet (https://twitter.com/differencebot/status/722084219925700613) as a result of returning the noun "tearaway" in a full hyponym query of "artifact".
* Fixed perfect rhymingKelly Rauchenberger2016-04-171-22/+106
| | | | | | 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.
* Added support for ImageNet and fixed bug with query interfaceKelly Rauchenberger2016-04-151-12/+45
| | | | | | 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.
* Added prefix/suffix search, and word complexity search for nouns, ↵Kelly Rauchenberger2016-03-271-9/+13
| | | | | | adjectives, and adverbs Word complexity refers to the number of words in a noun, adjective, or adverb.
* Added verb framesKelly Rauchenberger2016-03-241-22/+523
| | | | | | | | | | 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.
* Fixed bug in generator regarding proper noun detectionKelly Rauchenberger2016-03-201-2/+1
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* Nouns with any uppercase letters are now considered properKelly Rauchenberger2016-03-191-3/+9
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* Added word derivational relationships (kind of eh at the moment) and moved ↵Kelly Rauchenberger2016-03-161-0/+1663
verbly into its own directory