thesaurus
lemmatization-lists
| thesaurus | lemmatization-lists | |
|---|---|---|
| 2 | 3 | |
| 168 | 303 | |
| - | - | |
| 3.4 | 0.0 | |
| 3 months ago | over 2 years ago | |
| Python | ||
| - | ODC Open Database License v1.0 |
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thesaurus
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Ambiguous spellings
Ooh, thanks! I'm still working on something to check for more ambiguous spellings, but I'll send you something when I'm done. I'm using a thesaurus I got from here, in case you want to check that out.
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Need help with integration of ML in blazor application.
You could use something like thesaurus to find synonyms and check if the user has some to do in the past that matches one of the synonyms.
lemmatization-lists
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Ambiguous spellings
It's a bit of a massive undertaking maintaining such a data set so it's mostly taken from https://github.com/michmech/lemmatization-lists At the top of the file you'll see some additional I've added to deal with personal pronouns and numbers.
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Is there a text list of words and their variations?
Another one to add to your list: https://github.com/michmech/lemmatization-lists
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Trying to build a lemmatizer from scratch
One approach might be to take a lemmatization list, like the lemma-token lists at https://github.com/michmech/lemmatization-lists/, and compile it into a Finite State Transducer. The Helsinki FST package, for instance, has an hfst-strings2fst command to compile pairs of strings into a transducer. You might need to do some reformatting of the input first.
What are some alternatives?
thesaurus_query.vim - Multi-language Thesaurus Query and Replacement plugin for Vim/NeoVim
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
googler - :mag: Google from the terminal
tldr-transformers - The "tl;dr" on a few notable transformer papers (pre-2022).
syn - 🌾 Get synonyms and antonyms of words from Thesaurus.com and other sources in your terminal, with rich output.
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
wordhoard - This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
eda_nlp - Data augmentation for NLP, presented at EMNLP 2019