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POS tagging and NER for Bulgarian
License: MIT License
💻 I'm currently working as an ML Engineer.
✍️ I have a blog where I write about my ML projects.
🤖 I sometimes compete in Kaggle competitions, where I'm a Competitions Master. 🥇🥇🥈🥈🥈
I have been recently using the model. However, when trying to use a paragraph or some long string as input the annotator shows an error due to
---> 22 assert len(tokens) == len(pos_tags)
23 assert len(tokens) == len(ner_tags)
24 annotation = {}
AssertionError:
It seems like the number of tokens differs from the number of tags. This doesn't happen with a shorter string. I tried using POSTagger.generate_tags()
and I get a list of tags that is around a third of the number of words in the paragraph. Is there some size restriction in the text that can be used as input? How can I work around this issue?
This is the text I was using as an example
През 1878 г., след почти век на културно и икономическо възраждане, неуспешни въстания и дипломатически борбиБългария възстановява държавността си под формата на монархия и се освобождава от петвековното османско владичество с помощтана Руската империя в Руско-турската Освободителна война. Малко след това България започва да води редица войни със своите съседии се съюзява с Германия по време на двете световни войни. На 15 септември 1946 г. монархията е заменена с народна република, от съветски тип и държавата се преименува на Народна република България, ръководена от Българската комунистическа партия. Социалистическият строй съществува до 1990 г., след което България поема по пътя на либералната демокрация и пазарната икономика. На 29 март 2004 г. страната се присъединява към НАТО, а на 1 януари 2007 г. – към Европейския съюз.
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