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Frog integrates various NLP modules (for dutch) so perhaps it should be added to the following categories?
* Morphological Analysis
* Named Entity Recognition
* Lemmatization
* Part-of- Speech T…
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how should the input for this tool normally be processed? we need it to be at least tokenized and lemmatized; the identification of MWEs would also be of interest.
- lemmatization can be done with…
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There are a number of codes (references to documents, mainly) which degrade automatic linguistic preprocessing (e.g. tokenization, lemmatization, PoS, sentence splitting...).
An idea would be to an…
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:red_circle: **Title** : Automated Essay Scoring System
:red_circle: **Aim** : Create a system to automatically score essays using NLP techniques.
:red_circle: **Brief Explanation** :
- Colle…
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## How to reproduce the behaviour
```
import spacy
nlp = spacy.load("de_dep_news_trf")
assert nlp("Du ißt Äpfel")[1].lemma_ == 'essen'
print(nlp("Du isst Äpfel")[1].lemma_)
```
This prints `i…
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Reference: https://github.com/monarch-initiative/mondo-ingest/issues/112#issuecomment-1329314132
- roman numerals: A function call to convert arabic to Roman numerals (or maybe vice versa? )
- sto…
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**To Reproduce**
Steps to reproduce the behavior:
```
import stanza
stanza.download('pt')
stnz = stanza.Pipeline('pt', use_gpu=False)
text = stnz("convido-os a levantarem-se para um minuto de si…
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For example, "quickly" is not reduced to "quick."
It looks like there are lemma files for nouns and verbs, but not for adjectives. Is there a resource for english adjective lemmatization that could b…
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Currently lemmatization is inconsistent, at least across EWT and GUM, and I'd like to standardize practices for at least the following two cases:
* Numbers with separators: currently "2000" and "…
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- [ ] Do word to word and phrase to phrase separate files
- [ ] Divide multiple sentences into smaller chunks, may be sentence-wise ?
- [ ] Convert the Jupyter notebook code into pure Python code ?
- …