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https://github.com/AlessandroGianfelici/awesome-italian

A list of awesome NLP resources for Italian language.
https://github.com/AlessandroGianfelici/awesome-italian

List: awesome-italian

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A list of awesome NLP resources for Italian language.

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README 

        
# Awesome Italian

A list of awesome NLP resources for Italian language.



## Corpora

### Sentiment Analysis

* [Sentipolc2016](http://www.di.unito.it/~tutreeb/sentipolc-evalita16/data.html) - Dataset for the  Evalita Sentipolc competition, ed.2016.



* [Absita2018](http://sag.art.uniroma2.it/absita/data/) - Booking-crawled dataset for the Evalita Absita competition, ed.2018.



* [Italian review dataset](https://github.com/AlessandroGianfelici/italian_reviews_dataset) - Trustpilot-crawled dataset with 146,910 reviews.



* [Happy Parents](https://github.com/mirkolai/Happy-Parents) - Annotated datasets of parent to parent and parents to children dialogues.



* [Italian Sentiment Analysis](https://github.com/nicolaCirillo/italian-sentiment-analysis) - Smartphone review dataset.



* [Distributional Polarity Lexicon](http://sag.art.uniroma2.it/demo-software/distributional-polarity-lexicon/) - Annotated dataset of sentiment polarity for short (i.e. few words) expressions.



* [SentiML](http://corpus.leeds.ac.uk/marilena/SentiML/) -  a collection of documents annotatated to identify sentiment at the sentence level.



* [Sentic](https://sentic.net/downloads/) -  multi-lingual sentiment analysis dataset.



* [TWITA](http://valeriobasile.github.io/twita/downloads.html) -  dataset of Italian tweets.



### Hate speech recognition

* [HaSpeeDe](https://github.com/msang/haspeede) - Dataset for the  Evalita Hate Speech Detection competition, ed.2018 and 2020.



* [IHSC](https://github.com/msang/hate-speech-corpus) - Twitter corpus built with the aim of representing and analyzing hate speech against some minority groups in Italy.



* [WhatsApp Dataset](https://github.com/dhfbk/WhatsApp-Dataset) - WhatsApp dataset to study cyberbullying among Italian students aged 12-13 in the context of the CREEP EIT project



### Irony detection

* [Irony and Tweets](https://github.com/Jihen-Karoui/French-Italian-and-English-Corpora) - labeled dataset of ironic tweets in several languages.



* [IronITA 2018](http://www.di.unito.it/~tutreeb/ironita-evalita18/data.html) - dataset for the IronITA (Irony Detection in Italian Tweets) competition, organised within Evalita 2018.



### Part of speech tagging

* [PoS-Tagging Evalita 2009](http://medialab.di.unipi.it/evalita/) - Annotated PoS tagging dataset for the Evalita 2009 competition. 



### Named Entity Recognition

* [I-CAB](https://ontotext.fbk.eu/icab.html/) - Corpora of annotated articles from "L'Adige" for NER tasks. 



* [PAISA](https://www.corpusitaliano.it/) - Corpora of annotated articles scraped from the web. 



* [itWaC](https://wacky.sslmit.unibo.it/doku.php?id=corpora) - a 2 billion word corpus constructed from the Web limiting the crawl to the .it domain and using medium-frequency words from the Repubblica corpus and basic Italian vocabulary lists as seeds. 



### Linguistic Complexity

* [Italian Complexity Dataset](http://www.italianlp.it/resources/corpus-of-sentences-rated-with-human-complexity-judgments/) - 1,123 Italian sentences rated by humans with a judgment of complexity. 



### Parallel corpora

* [Europarl](https://www.statmt.org/europarl/) - parallel sentences between Italian and English from the European Parlament. 



* [PaCCSS-IT](http://www.italianlp.it/resources/paccss-it-parallel-corpus-of-complex-simple-sentences-for-italian/) - Parallel Corpus of Complex-Simple Sentences for ITalian. 



### Spoken language corpora

* [kiparla](http://kiparla.it/il-corpus/) - The largest corpus of spoken Italian available so far (for research purpose only). 



### Word collections

* [paroleitaliane](https://github.com/napolux/paroleitaliane) - Lists of italian words about different topics and from several sources.



## Models

### Sentiment Analysis

* [SentITA](https://github.com/NicGian/SentITA/) - a Bidirectional LSTM-CNN that operates at word level for sentiment polarty classification.



* [Feel-IT](https://github.com/MilaNLProc/feel-it/) - a BERT-based sentiment and emotion classifier for Italian.



### Text summarization 

* [multilang-summarizer](https://pypi.org/project/multilang-summarizer/) - A multilingual text summarization model partially supported by the National Council of Science and Technology (CONACYT) of Mexico.



### Language Models

* [UmBERTo](https://github.com/musixmatchresearch/umberto/) - a Roberta-based Language Model trained on large Italian Corpora.



## Useful libraries

### Only Italian

* [italian-dictionary](https://pypi.org/project/italian-dictionary/) - a Python library to retrieve the meaning of italian lemmas

### Multilingual (supporting also Italian)

* [Spacy](https://spacy.io/) - a Python general purpose NLP library

* [NLTK](https://www.nltk.org/) - Natural Language ToolKit library



## Contributing

If you know any other awesome Italian language resource that is not included in this list yet, feel free to fork this repo and open a pull request or, if you prefer, to write me [here](https://github.com/AlessandroGianfelici/awesome-italian/issues).