Python library for Serbian Natural language processing (NLP)

Last update: Nov 22, 2022

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Overview

SrbAI - Python biblioteka za procesiranje srpskog jezika

SrbAI je projekat prikupljanja algoritama i modela za procesiranje srpskog jezika u jedinstvenu Python biblioteku. Biblioteka treba da sadrži kako osnovne metode za procesiranje srpskog, poput stemmera, prepoznavanje vrsta reči (part-of-speech tagging), negacija, do naprednijih funkcionalnosti, poput prepoznavanje imenovanih entiteta (named entity tagging), klasifikacije, itd. Biblioteka jednostavno može da se proširi novim metodima, tako da je ideja da se veći broj studenata, doktoranada i drugih ljudi koji rade i su zainteresovani za razvoj srpskog procesiranja jezika uključe u razvoj projekta.

Vizija projekta je da postane jedinstven i sveobuhvatan resurs za obradu srpskog jezika koji bi se koristio bilo u akademske, bilo u komercijalne svrhe.

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Comments

Switch to English

This is a great initiative! I would encourage authors to consider moving both code and documentation to English language, in this way enabling those who are not Serbian speakers to both understand and contribute to the project.

opened by marko-vasic 0

Releases(2022.02.28.22)

2022.02.28.22(Feb 28, 2022)

Source code(tar.gz)
Source code(zip)
2022.02.28.21(Feb 28, 2022)

Source code(tar.gz)
Source code(zip)
2021.11.24.8(Nov 24, 2021)

Source code(tar.gz)
Source code(zip)

Owner

Serbian AI Society

GitHub Repository

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Python library for Serbian Natural language processing (NLP)

Related tags

Overview

SrbAI - Python biblioteka za procesiranje srpskog jezika

You might also like...

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A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.

Twitter-NLP-Analysis - Twitter Natural Language Processing Analysis

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LegalNLP - Natural Language Processing Methods for the Brazilian Legal Language

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A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

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Comments

Switch to English

Releases(2022.02.28.22)

2022.02.28.22(Feb 28, 2022)

2022.02.28.21(Feb 28, 2022)

2021.11.24.8(Nov 24, 2021)

Owner

Serbian AI Society

Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer

Autoregressive Entity Retrieval

📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体

JaQuAD: Japanese Question Answering Dataset

Analyse japanese ebooks using MeCab to determine the difficulty level for japanese learners

Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module.

Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

Open source annotation tool for machine learning practitioners.

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs".

(ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.

Python bindings to the dutch NLP tool Frog (pos tagger, lemmatiser, NER tagger, morphological analysis, shallow parser, dependency parser)

A cross platform OCR Library based on PaddleOCR & OnnxRuntime

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