Morfessor file types¶
Pickled models are sensitive to bitrot. Sometimes incompatibilities exist between Python versions that prevent loading a model stored by a different version. Also, next versions of Morfessor are not guaranteed to be able to load models of older versions.
The standard format for Morfessor 2.0 is a binary model, generated by pickling the BaselineModel object. This ensures that all training-data, annotation-data and weights are exactly the same as when the model was saved.
Reduced Binary model¶
A reduced Morfessor model contains only that information that is necessary for segmenting new words using (nbest) viterbi segmentation. Reduced binary models much smaller that the full models, but no model modificating actions can be performed.
Morfessor 1.0 style text model¶
Morfessor 2.0 also supports the text model files that are used in Morfessor 1.0. These files consists of one segmentation per line, preceded by a count, where the constructions are separated by ‘ + ‘.
10 kahvi + kakku 5 kahvi + kilo + n 24 kahvi + kone + emme
Text corpus file¶
A text corpus file is a free format text-file. All lines are split into compounds using the compound-separator (default <space>). The compounds then are split into atoms using the atom-separator. Compounds can occur multiple times and will be counted as such.
kavhikakku kahvikilon kahvikilon kahvikoneemme kahvikakku
Word list file¶
A word list corpus file contains one compound per line, possibly preceded by a count. If multiple entries of the same word occur there counts are summed. If no count is given, a count of one is assumed (per entry).
10 kahvikakku 5 kahvikilon 24 kahvikoneemme
kahvikakku kahvikilon kahvikoneemme
An annotation file contains one compound and one or more annotations per compound on each line. The separators between the annotations (default ‘, ‘) and between the constructions (default ‘ ‘) are configurable.
<compound> <analysis1construction1>[ <analysis1constructionN>][, <analysis2construction1> [<analysis2constructionN>]*]*
kahvikakku kahvi kakku, kahvi kak ku kahvikilon kahvi kilon kahvikoneemme kahvi konee mme, kah vi ko nee mme