Correct results for pattern.en.lemma/pattern.en.conjugate/pattern.en.tenses with particle verbs by splitting the input into verb stem and sattelites (first word and everything else) before doing the base class _Verb processing.
example:
>>> import pattern.en as enp
>>> print(enp.conjugate("dispose of", list(enp.tenses("discarded"))[0])) # old result was: 'dispose offed'
'disposed of'
Coverage decreased (-0.1%) to 68.392% when pulling 9a51869d6f688d34e6604c5dd877ad016da00e80 on JakobSteixner:fix/english-particle-verbs-to-dev into 17f215438166729114762c3d9b3179dacd31490d on clips:development.
Correct results for
pattern.en.lemma
/pattern.en.conjugate
/pattern.en.tenses
with particle verbs by splitting the input into verb stem and sattelites (first word and everything else) before doing the base class_Verb
processing.example: