Splits a German compound into its body and head, e.g.
Autobahnraststätte -> Autobahn - Raststätte
Implementation of the method decribed in the appendix of the thesis:
Tuggener, Don (2016). Incremental Coreference Resolution for German. University of Zurich, Faculty of Arts.
TL;DR: The method calculates probabilities of ngrams occurring at the beginning, end and in the middle of words and identifies the most likely position for a split.
The method achieves ~95% accuracy for head detection on the Germanet compound test set.
A model is provided, trained on 1 Mio. German nouns from Wikipedia.
Train a new model:
python char_split_train.py <your_train_file>
where <your_train_file> contains one word (noun) per line.
Compound splitting
From command line:
python char_split.py <word>
Which outputs all possible splits, ranked by their score, e.g.
python char_split.py Autobahnraststätte
0.84096566854 Autobahn Raststätte
-0.54568851959 Auto Bahnraststätte
-0.719082070993 Autobahnrast Stätte
...
As a module:
>>> import char_split
>>> char_split.split_compound('Autobahnraststätte')
[[0.7945872450631273, 'Autobahn', 'Raststätte'], [-0.7143290887876655, 'Auto', 'Bahnraststätte'], [-1.1132332878581173, 'Autobahnrast', 'Stätte'], [-1.4010051533086552, 'Aut', 'Obahnraststätte'], [-2.3447843979244944, 'Autobahnrasts', 'Tätte'], [-2.4761904761904763, 'Autobahnra', 'Ststätte'], [-2.4761904761904763, 'Autobahnr', 'Aststätte'], [-2.5733333333333333, 'Autob', 'Ahnraststätte'], [-2.604651162790698, 'Autobahnras', 'Tstätte'], [-2.7142857142857144, 'Autobah', 'Nraststätte'], [-2.730248306997743, 'Autobahnrastst', 'Ätte'], [-2.8033113109925973, 'Autobahnraststä', 'Tte'], [-3.0, 'Autoba', 'Hnraststätte']]