# Awesome NLP Resources for Hungarian
[](https://github.com/oroszgy/awesome-hungarian-nlp) [](https://github.com/oroszgy/awesome-hungarian-nlp/actions/workflows/links.yml) [](https://github.com/oroszgy/awesome-hungarian-nlp)
> A curated list of *free* resources dedicated to Hungarian Natural Language Processing
>
> Maintainers - [GyΓΆrgy Orosz](https://github.com/oroszgy)
## Table of contents
1. [Tools](#tools)
1. [Word tokenization, sentence splitting](#word-tokenization-sentence-splitting)
2. [Morphology](#morphology)
3. [PoS / Morphological taggers](#pos--morphological-taggers)
4. [Taggers / Chunkers](#taggers--chunkers)
5. [Pipelines with Hungarian NLP components](#pipelines-with-hungarian-nlp-components)
6. [Syntactic parsers](#syntactic-parsers)
7. [Semantic analysis](#semantic-analysis)
8. [Other](#other)
2. [Language models](#language-models)
1. [Word embeddings](#word-embeddings)
2. [Transformer models](#transformer-models)
3. [Large Language models](#large-language-models)
4. [LLM Benchmarks](#llm-benchmarks)
3. [Datasets](#datasets)
1. [Corpora](#corpora)
1. [Raw corpora](#raw-corpora)
2. [Annotated corpora](#annotated-corpora)
3. [Parallel corpora](#parallel-corpora)
2. [Linguistic resources](#linguistic-resources)
3. [Linked Open Data](#linked-open-data)
4. [Geo data](#geo-data)
5. [Speech related data](#speech-related-data)
6. [Other](#other-1)
4. [Academy](#academy)
1. [Journals](#journals)
2. [Conferences](#conferences)
3. [Institutes](#institutes)
5. [Learning resources](#learning-resources)
1. [Books](#books)
2. [Courses](#courses)
3. [Tutorials](#tutorials)
6. [Communities](#communities)
7. [Other Hungarian related resource collections](#other-hungarian-related-resource-collections)
## Tools
Notations:
* π Easy to install and use
* π Commercial-friendly license
* π― Pretrained models are available or not needed
### Word tokenization, sentence splitting
* [huntoken](https://github.com/zseder/huntoken) πππ― Hungarian word and sentence splitter
* [quntoken](https://github.com/dlt-rilmta/quntoken) πππ― New Hungarian tokenizer based on quex, huntoken
### Morphology
* [emMorph (Humor)](https://github.com/dlt-rilmta/emMorph) π― Hungarian morphological analyzer based on Humor
* [emMorphPy](https://github.com/ppke-nlpg/emmorphpy) ππ―A wrapper, a lemmatizer and REST API implemented in Python for emMorph (Humor) Hungarian morphological analyzer
* [hunmorph](http://mokk.bme.hu/resources/hunmorph/) ππ― is an open source tool and programming library for spell-checking, stemming and morphological analysing of agglutinative, german and other languages.
* [hunmorph-foma](https://github.com/r0ller/hunmorph-foma) ππ― Hungarian morpholical analyzer and generator based on hunmorph.
* [hunspell](http://hunspell.github.io/) πππ― is an open-source spell-checker, stemmer and morphological analyzer
* [lara-hungarian-nlp](https://github.com/sedthh/lara-hungarian-nlp) πππ― LARA is a lightweight Python NLP library for ChatBots in Hungarian.
* [Lemmagen](https://kt.ijs.si/software/lemmagen/) πππ― project aims at providing standardized open source multilingual platform for lemmatisation. ([Python package for v3](https://pypi.org/project/lemmagen3/) | [C# project for v3](https://github.com/oroszgy/lemmagen3))
* [Simplemma](https://github.com/adbar/simplemma) πππ― is a simple multilingual lemmatizer for Python
### PoS / Morphological taggers
* [hunpos](http://mokk.bme.hu/resources/hunpos/) πππ― Hunpos is an open source reimplementation of TnT, the well known part-of-speech tagger by Thorsten Brants.
* [PurePos](https://github.com/ppke-nlpg/purepos) ππ Open source morphological tagger based on HunPos
* [purepos.py](https://github.com/ppke-nlpg/purepos.py) ππ Python wrapper for PurePos
### Taggers / Chunkers
* [HunTag](https://github.com/recski/HunTag) ππ A sequential tagger for NLP using Maximum Entropy Learning and Hidden Markov Models
* [HunTag3](https://github.com/ppke-nlpg/HunTag3) ππ Improved version of the original HunTag
* [SzegedNER](https://rgai.inf.u-szeged.hu/node/109) πππ― Named Entity Recognition tool for Hungarian and English
* [DBpedia Spotlight](https://github.com/dbpedia-spotlight/dbpedia-spotlight) πππ― DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text. [Docker image](https://hub.docker.com/r/dbpedia/dbpedia-spotlight)
* [emBERT](https://github.com/DavidNemeskey/emBERT) πππ― is an emtsv module for pre-trained Transfomer-based models. It provides tagging models based on Huggingface's transformers package.
### Pipelines with Hungarian NLP components
* [magyarlanc](http://rgai.inf.u-szeged.hu/magyarlanc) ππ― A toolkit for the basic linguistic processing of Hungarian
* [magyarlanc\_spark](https://github.com/tyson925/magyarlanc_spark) ππ― Spark wrapper for magyarlanc
* [eszterland](https://github.com/damesek/eszterlanc) ππ― Clojurized access to magyarlanc
* [HuSpaCy](https://github.com/huspacy/huspacy) πππ― Industrial-strength Hungarian Natural Language Processing
* [huNLP](https://github.com/oroszgy/hunlp) ππ― An experimental unified Java and REST API for magyarlanc and szegedNER
* [hunlp-GATE](https://github.com/dlt-rilmta/hunlp-GATE) π― GATE plugin containing Hungarian NLP tools as GATE processing resources
* [Trendminer Hungarian Processing Pipeline](https://github.com/mmihaltz/trendminer-hunlp) π Hungarian NLP pipeline for social media text analysis (TrendMiner project)
* [Google Syntaxnet](https://research.googleblog.com/2017/03/an-upgrade-to-syntaxnet-new-models-and.html) ππ― Neural Models of Syntax
* [UDPipe](http://ufal.mff.cuni.cz/udpipe) πππ― is a trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files
* [polyglot](http://polyglot.readthedocs.io/en/latest/index.html) πππ― is a natural language pipeline that supports massive multilingual applications.
* [emtsv](https://github.com/dlt-rilmta/emtsv) ππ― is a text processing system with inter-module communication via tsv + REST API
* [Stanza](https://github.com/stanfordnlp/stanza) πππ― is a Python NLP Library for Many Human Languages
* [spaCy StanfordNLP](https://github.com/explosion/spacy-stanfordnlp) πππ― wraps the StanfordNLP library, so you can use Stanford's models as a spaCy pipeline
* [trankit](https://github.com/nlp-uoregon/trankit) πππ― A Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
### Syntactic parsers
* [hunpars](http://mokk.bme.hu/resources/hunpars/) ππ― A rule based Hungarian syntactical analyzer
* [HunParse](https://github.com/recski/HunParse) ππ― An NLTK-based parser using KR-style morphological annotation
* [Anagramma Parser](https://github.com/ppke-nlpg/AnaGramma-Parser) A parser based on psycholinguistics principles
* [benepar](https://github.com/nikitakit/self-attentive-parser) πππ― A high-accuracy parser with models for 11 languages, implemented in Python. Based on Constituency Parsing with a Self-Attentive Encoder from ACL 2018.
### Semantic analysis
* [SentimentAnalysisHUN](https://github.com/dhuszti/SentimentAnalysisHUN) πππ― is an open-source sentiment analysis tool for Hungarian language, written in Python.
* [hun-date-parser](https://github.com/szegedai/hun-date-parser) πππ― A tool for extracting datetime intervals from Hungarian sentences and turning datetime objects into Hungarian text.
* SZTAKI HunSum-1 models πππ― [mT5-small-HunSum-1](https://huggingface.co/SZTAKI-HLT/mT5-small-HunSum-1), [mT5-base-HunSum-1](https://huggingface.co/SZTAKI-HLT/mT5-base-HunSum-1), [Bert2Bert-HunSum-1](https://huggingface.co/SZTAKI-HLT/Bert2Bert-HunSum-1),
* [poltextLAB's models](https://huggingface.co/collections/poltextlab/emotions-babel-672b54c08540c5e11ecb9983) emotion classification models using 6-label and 9-label codebooks.
### Other
* [emLam](https://github.com/dlt-rilmta/emLam) πππ― Preprocessing scripts for Hungarian Language Modeling
* [pywnxml](https://github.com/ppke-nlpg/pywnxml) πππ― Python3 API for WordNet XML (Hungarian WordNet / BalkaNet / VisDic format)
* [Hun-appointment-chatbot](https://github.com/szegedai/hun-appointment-chatbot) πππ― A simple Hungarian chatbot for booking an appointment using the Rasa framework.
* [neural-punctuator](https://github.com/attilanagy234/neural-punctuator) πππ― Automatic punctuation restoration with BERT models for English and Hungarian
* [hunaccent](https://github.com/juditacs/hunaccent) πππ― Small Footprint Diacritic Restoration for Hungarian
* [Diacritics\_restoration](https://github.com/aielte-research/Diacritics_restoration) ππ― Lightweight Diacritics Restoration with Dilated Convolutional Neural Networks
* [NYTK MT](https://github.com/nytud/machine-translation) πππ― NYTK Machine translation models
* [syntax-augmentation-nmt](https://github.com/attilanagy234/syntax-augmentation-nmt) ππ― Syntax-based data augmentation for Hungarian-English machine translation
* [anonymizer\_hu](https://github.com/nytud/anonymizer_hu) ππ― The Hungarian anonymization tool for CURLICAT
## Language models
### Word embeddings
* [FasText Wikipedia](https://fasttext.cc/docs/en/pretrained-vectors.html) pre-trained word vectors for 90 languages, trained on Wikipedia using fastText.
* [FasText Common Crawl & Wikipedia](https://fasttext.cc/docs/en/crawl-vectors.html) pre-trained word vectors for 157 languages, trained on Wikipedia and the Common Crawl using fastText's CBOW model.
* [FastText\_multilingual](https://github.com/Babylonpartners/fastText_multilingual) Multilingual word vectors in 78 languages
* [polyglot vectors](https://sites.google.com/site/rmyeid/projects/polyglot) polgyglot embeddings on Wikipedia
* [wordvectors](https://github.com/Kyubyong/wordvectors) Pre-trained word2vec and fasttext word vectors on wikipedia of 30+ languages
* [hunembed0.0](http://corpus.nytud.hu/efnilex-vect/) A word2vec word embedding trained on the concatenation of the Hungarian Webcorpus and the Hungarian National Corpus in 600 dimensions with a cut-off of 10 words.
* [Szeged word vectors](http://www.inf.u-szeged.hu/~szantozs/fasttext/) Word embeddings (word2vec & fasttext) for Hungarian trained on 4.3 billion tokens
* [questions-words-hu](http://corpus.nytud.hu/efnilex-vect/data/questions-words-hu.txt) Hungarian analogical questions following Mikolov et al.
* [Conceptnet Numberbatch](https://github.com/commonsense/conceptnet-numberbatch) Conceptnet numbermatch multi- and cross-lingual semantic word embeddings
* [Multi-sense word embeddings](https://hlt.bme.hu/en/publ/makrai17)
* [BytePair Embeddings](https://bpemb.h-its.org/hu/) pretrained Subword Embeddings, downloadable in many formats
* [HuSpaCy 300d](https://huggingface.co/huspacy/hu_vectors_web_lg) 300d Floret embeddings trained on the Hungarian Webcorpus 2.0
* [HuSpaCy 100d](https://huggingface.co/huspacy/hu_vectors_web_md) 100d Floret embeddings trained on the Hungarian Webcorpus 2.0
* [ELMo Representations](https://github.com/HIT-SCIR/ELMoForManyLangs) Deep contextualized word representation trained for many languages
### Transformer models
* [`huBERT`](https://hlt.bme.hu/en/resources/hubert) Hungarian BERT base models trained on Webcorpus 2.0 and the Hungarian Wikipedia
* [HIL\* Transformer models](https://hilanco.github.io) Pretrained transformer models provided by HILANCO
* [PULI-BERT-Large](https://huggingface.co/NYTK/PULI-BERT-Large) is a Hungarian BERT large model based on MegatronBERT
### Large Language models
#### General Multilingual Large Language models
* [Google Gemma 3](https://huggingface.co/blog/gemma3) is a multilingual LLM that also speaks Hungarian
* [EuroLLM](https://huggingface.co/utter-project/models) is a multilingual LLM that also speaks Hungarian
* [gpt-oss](https://gpt-oss.com/) is a multilingual LLM that also speaks Hungarian([Hugging Face](https://huggingface.co/openai/gpt-oss-120b), [GitHub](https://github.com/openai/gpt-oss))
#### Large Language models specifically developed for Hungarian language use-cases
* [PULI-GPTrio](https://huggingface.co/NYTK/PULI-GPTrio) is a Hungarian-English-Chinese trilingual GPT-NeoX model
* [PULI-GPT-3SX](https://huggingface.co/NYTK/PULI-GPT-3SX) is a Hungarian GPT-NeoX model
* [SambaLingo-Hungarian-Base](https://huggingface.co/sambanovasystems/SambaLingo-Hungarian-Base) is a pretrained Bi-lingual Hungarian and English model that adapts Llama-2-7b to Hungarian by training on 59 billion tokens from the Hungarian split of the Cultura-X dataset
* [SambaLingo-Hungarian-Chat](https://huggingface.co/sambanovasystems/SambaLingo-Hungarian-Chat) is a human aligned chat model trained in Hungarian and English
* [PULI-GPT-2](https://huggingface.co/NYTK/PULI-GPT-2) is a Hungarian GPT-2 model
* [PULI-GPT-3SX](https://huggingface.co/NYTK/PULI-GPT-3SX) is a Hungarian GPT-NeoX model (6.7 billion parameter)
* [OpenEuroLLM-Hungarian](https://ollama.com/jobautomation/OpenEuroLLM-Hungarian) is a fine-tuned version of Gemma 3 optimized for Hungarian language responses.
* [Racka 4B](https://huggingface.co/elte-nlp/Racka-4B) is a continually pretrained large language model designed to bridge the resource gap between Hungarian and high-resource languages
* [MangaliCa](https://huggingface.co/Obscure-Entropy/MangaliCa) is the first publicly available HungarianβEnglish bilingual visionβlanguage model designed for image captioning and imageβtext retrieval.
### LLM Benchmarks
* [HuLU evaluate](https://github.com/nytud/HuLU-evaluate) is a library for evaluating and training language models on Hungarian tasks within the HuLU benchmark.
* [OpenHuEval](https://github.com/opendatalab/OpenHuEval) is an LLM benchmark focusing on the Hungarian language.
* [(M)MTEB](https://huggingface.co/spaces/mteb/leaderboard) is a dataset and leaderboard comparing 100+ text embedding models across 1000+ languages including Hungarian.
* [EuroEval](https://euroeval.com/leaderboards/Monolingual/hungarian/#__tabbed_1_1) is a language model benchmarking framework that supports evaluating all types of language models out there: encoders, decoders, encoder-decoders, base models, and instruction tuned models.
## Datasets
### Corpora
* The Hungarian [National Corpus Portal](http://corpus.nytud.hu/nkp/) lists 15 corpora with a links to their main page *(fΕoldal)*, concordance *(keresΕ)*, registration page (if needed, *regisztrΓ‘ciΓ³*), and contact e-mail *(kapcsolat).*
#### Raw corpora
* [Hungarian Webcorpus](http://mokk.bme.hu/resources/webcorpus/) With over 1.48 billion words unfiltered (589 million words fully filtered), this is by far the largest Hungarian language corpus, and unlike the Hungarian National Corpus (125 million words), it is available in its entirety under a permissive Open Content license.
* [Hungarian Webcorpus 2.0](https://hlt.bme.hu/en/resources/webcorpus2) The new version of the Hungarian Webcorpus was built from Common Crawl and includes a little over 9 billion words.
* [OSCAR](https://traces1.inria.fr/oscar/) is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture. (2339 million unique words)
* [emLam](https://hlt.bme.hu/en/resources/emLam) A Language Modeling Benchmark Corpus for Hungarian, similar to the One Billion Word corpus (Chelba, 2014) for English.
* [Leipzig corpora](http://wortschatz.uni-leipzig.de/en/download/) contains randomly selected sentences in the language of the corpus and are available in sizes from 10,000 sentences up to 1 million sentences. The sources are either newspaper texts or texts randomly collected from the web.
* [web2corpus](http://ufal.mff.cuni.cz/w2c) Automatically created multilingual web corpus
* [CC-100](http://data.statmt.org/cc-100) Monolingual Datasets from Web Crawl Data
#### Annotated corpora
* [CoNLL 2017: Automatically Annotated Raw Texts and Word Embeddings](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-1989) Automatic segmentation, tokenization and morphological and syntactic annotations of raw texts in 45 languages, generated by [UDPipe](http://ufal.mff.cuni.cz/udpipe), together with word embeddings of dimension 100 computed from lowercased texts by [word2vec](https://code.google.com/archive/p/word2vec/)
* [OpinHuBank](https://sites.google.com/site/mmihaltz/resources) OpinHuBank is a human-annotated corpus to aid the research of opinion mining and sentiment analysis in Hungarian
* [HunEmPoli](https://github.com/poltextlab/HunEmPoli_corpus) corpus was built using pre-agenda speeches of the Hungarian National Assembly (2014-2018) and consists 764008 tokens/36475 sentences. Aspect level emotion annotation, with 39840 identified emotions, in addition, marked the keywords that evoked the emotion.
* [The Hungarian forum corpus for Opinion Mining](http://rgai.inf.u-szeged.hu/index.php?lang=en\&page=corpus_forum) This database is the first one dedicated to Opinion Mining in Hungarian. The data for further processing were gathered from the posts of the forum topic of the Hungarian government portal dealing with the referendum about dual citizenship.
* [Hungarian sentiment corpus (HuSent)](https://rgai.inf.u-szeged.hu/node/363) is a deeply annotated Hungarian sentiment corpus. It is composed of Hungarian opinion texts written about different types of products, published on the homepage \[]
* [Szeged Treebank](http://rgai.inf.u-szeged.hu/index.php?lang=en\&page=SzegedTreebank) The Szeged Treebank is the largest fully manually annotated treebank of the Hungarian language
* [Szeged Dependency Treebank](http://rgai.inf.u-szeged.hu/index.php?lang=en\&page=dependency) The Szeged Dependency Treebank is a dependency-tree format version of the Szeged Treebank.
* [Universal Dependencies](https://github.com/UniversalDependencies/UD_Hungarian)
* [Hungarian Named Entity Corpora](https://rgai.inf.u-szeged.hu/node/130) The Named Entity Corpus for Hungarian is a subcorpus of the Szeged Treebank, which contains full syntactic annotations done manually by linguist experts.
* [KorKor Pilotcorpus](https://github.com/vadno/korkor_pilot) is a gold standard corpus consisting of multiple layers such as dependency parse and coreference annotations
* [NerKor](https://github.com/dlt-rilmta/NerKor) is a gold standard named entity annotated corpus containing 1 million tokens.
* [NerKor 1.41e](https://github.com/novakat/NYTK-NerKor-Cars-OntoNotesPP) A 1M+-token Hungarian named entity dataset with \~30 entity types derived from NYTK-NerKor
* [hunNERwiki](http://hlt.sztaki.hu/resources/hunnerwiki.html) a silver standard corpus for Hungarian Named Entity Recognition
* [Mazsola database](http://corpus.nytud.hu/isz/) contains 28M sentences from the MNSZ1 corpus annotated with shallow syntactic analysis
* [PrevCons](https://github.com/kagnes/prevcons) is a database of 21K hapaxes of verbs with verbal prefixes
* [Hungarian word sense disambiguated corpus](http://rgai.inf.u-szeged.hu/index.php?lang=en\&page=corpus_hunwsd) containing 39 suitable word form samples for the purpose of word sense disambiguation
* [HunLearner](http://rgai.inf.u-szeged.hu/index.php?lang=en\&page=hunlearner) is a learners' corpus of Hungarian containing written data from 35 students majoring in Hungarian studies at the University of Zagreb, Croatia. Texts were morphologically and syntactically analyzed by the magyarlanc tool.
* [HuLU](https://github.com/nytud/HuLU) Hungarian Language Understanding Benchmark Kit
* [HuCOLA](https://github.com/nytud/HuCOLA) Hungarian Corpus of Linguistic Acceptability
* [HuCoPA](https://github.com/nytud/HuCoPA) Hungarian Choice of Plausible Alternatives Corpus
* [HuCommitmentBank](https://github.com/nytud/HuCommitmentBank) is a corpus of naturally occurring discourses whose final sentence contains a clause-embedding predicate under an entailment canceling operator.
* [HuSST](https://github.com/nytud/HuSST) Hungarian version of the Sentiment Treebank
* [HuWNLI](https://github.com/nytud/HuWNLI) Anaphora resolution datasets for Hungarian as an inference task
* [HuWS](https://github.com/nytud/HuWS) is the Hungarian set of the Winograd schemas
* [HuRTE](https://github.com/nytud/HuRTE) is the Hungarian version of the Recognizing Textual Entailment datasets
* [HuRC](https://huggingface.co/datasets/NYTK/HuRC) Hungarian Corpus for Reading Comprehension with Commonsense Reasoning
* [ELTE Poetry Corpus](https://github.com/ELTE-DH/poetry-corpus) is a database of complete poems of 50 Hungarian canonical poets together with the sound devices of the poems and the grammatical features of words in XML format
* [ELTE Novel Corpus](https://github.com/ELTE-DH/regenykorpusz) is a database of 400 Hungarian novels (with the annotation of structural units and the grammatical features of words in TEI XML format)
* [ELTE Drama Corpus](https://github.com/ELTE-DH/drama-corpus) is a database of 58 dramas (with the annotation of structural units and the grammatical features of words in TEI XML format)
* [HumSum-1](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-1) is a dataset containing over 1.1M unique news articles with lead and other metadata
* [HAPP](https://github.com/nytud/HAPP) is the Hungarian translation of the Definite Pronoun Resolution Dataset
#### Parallel corpora
* [Hunglish Corpus](http://mokk.bme.hu/resources/hunglishcorpus/) The Hunglish Corpus is a free sentence-aligned Hungarian-English parallel corpus of about 120 million words in 4 million sentence pairs.
* [SzegedParallel](http://rgai.inf.u-szeged.hu/index.php?lang=en\&page=corpus_paralell) The English-Hungarian parallel corpus contains texts selected on the basis of grammatical and translational criteria.
* [HunOr](http://rgai.inf.u-szeged.hu/index.php?lang=en\&page=corpus_hunor) A Hungarian-Russian Parallel corpus comprises approximately 800 thousand words.
* [CoNLL 2017 Shared Task Hungarian data](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-1989) Automatic segmentation, tokenization and morphological and syntactic annotations of raw texts from the Common Crawl
* [CSS10](https://github.com/Kyubyong/css10) A Collection of Single Speaker Speech Datasets for 10 Languages including Hungarian
* [Hungarian-Russian Prisoner of War Database](https://github.com/dlt-rilmta/hadifogoly-adatbazis)
* [TED talks transcripts parallel corpus](https://www.kaggle.com/db189ab19e7dfeda/ted-talks-transcripts-parallel-corpus) sentence aligned TED talks including Hungarian.
* [TaPaCo Corpus](https://zenodo.org/record/3707949) is a paraphrase corpus for 73 languages, including Hungarian, extracted from the Tatoeba database
* [Duolingo STAPLE](http://sharedtask.duolingo.com/) is a dataset of comprehensive accepted translations from English to 5 different languages, including Hungarian
* [PPDB](http://paraphrase.org/#/download) is an automatically extracted database containing millions of paraphrases in 16 different languages, including Hungarian
* [OpenSubtitles Corpus](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) contains movie subtitles and alignments for 62 languages, including Hungarian
* \[OPUS Corpus]\[] is a growing collection of translated texts from the web
* [MASSIVE dataset](https://github.com/alexa/massive) is a parallel dataset of > 1M utterances across 51 languages with annotations for the Natural Language Understanding tasks of intent prediction and slot annotation.
* [PWS](https://github.com/nytud/PWS) is a parallel collection of the Winograd schemas in seven languages (including Hungarian)
* \[HunSimpleNews]\( is the first Hungarian text simplification corpus that includes the standard and simplified versions of whole documents.
* [HunSum-1](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-1) is a Hungarian-language dataset containing over 1.1M unique news articles with lead and other metadata. The dataset contains articles from 9 major Hungarian news websites.
* [HunSum-2-abstractive](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-2-abstractive) and [HunSum-2-extractive](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-2-extractive) are Hungarian-language datasets containing over 1.8M unique news articles with lead and other metadata. The dataset contains articles from 27 major Hungarian news websites.
* [parallelbible](https://github.com/nytud/parallelbible) The Parallel Bible Corpus is based on the historical text material of the Old Hungarian Corpus, as its database contains all of the Old and Middle Hungarian Bible translations which are available in this corpus. The King James Bible and three Finnish translations are included in the database as well.
### Linguistic resources
* [morphdb.hu](http://mokk.bme.hu/resources/morphdb-hu/) is an open source morphological database of Hungarian, consisting of a lexicon and morphological grammar that are based on well-founded theoretical decisions.
* [huwn](https://github.com/mmihaltz/huwn) Hungarian Wordnet
* [Hungarian Sentiment Lexicon](http://opendata.hu/dataset/hungarian-sentiment-lexicon) The dictionaries were manually created on the basis of Wordnet-Affect lexicons.
* [poltextLAB's sentiment lexicons](https://github.com/poltextlab/sentiment_hun) Highly accurate sentiment lexicons for analysing news data
* [4lang](https://github.com/kornai/4lang) Concept dictionary using Eilenberg machines
* [Named Entity lists for Hungarian](https://rgai.sed.hu/file/69#overlay-context=file/68)
* [Mazsola ISZ](http://corpus.nytud.hu/isz/) lists 500K verb frames extracted from the Mazsola database
* [Manocska](https://github.com/ppke-nlpg/manocska) merges verb frames existing databases
* [PrevLex](https://github.com/kagnes/prevlex) List of phrasel verbs
* [panmorph](https://github.com/dlt-rilmta/panmorph) Tagsets and description of Hungarian morphological analysers.
* [hun\_ner\_checklist](https://github.com/szegedai/hun_ner_checklist) CHECKLIST diagnostic test cases for Hungarian Named Entity Recognition
### Linked Open Data
* [Wikipedia dumps](https://dumps.wikimedia.org/huwiki/)
* [Wikidata dumps](https://www.wikidata.org/wiki/Wikidata:Database_download)
* [DBPedia dumps](http://downloads.dbpedia.org/current/core-i18n/hu/)
* [huwn.rdf](https://github.com/mmihaltz/huwn.rdf) Hungarian WordNet in RDF format for the Linked Open Data cloud
* [Conceptnet](http://conceptnet.io/) An open, multilingual knowledge graph (with partial Hungarian support)
### Geo data
* [OpenStreetMap(OSM)](https://www.openstreetmap.org/) In [Hungary](http://download.geofabrik.de/europe/hungary.html) the [`name`](https://wiki.openstreetmap.org/wiki/Key:name) keys, [otherwise](https://planet.openstreetmap.org/) the [\*name:hu](https://taginfo.openstreetmap.org/search?q=name%3Ahu)
* [Natural-earth-vector](https://github.com/nvkelso/natural-earth-vector) ([`name_hu`](https://github.com/nvkelso/natural-earth-vector/blob/master/packages/Natural_Earth_quick_start/LOCALIZATION.md) imported from wikidata labels)
* [Who's On First](https://whosonfirst.org/) is a gazetteer of places (with [Hungarian administrative places](https://github.com/whosonfirst-data/whosonfirst-data-admin-hu) )
### Speech related data
* [Hungarian Single Speaker Speech Dataset](https://www.kaggle.com/bryanpark/hungarian-single-speaker-speech-dataset)
* [Mozilla Common Voice](https://commonvoice.mozilla.org/hu/datasets)
### Other
* [alpaca\_hu\_2k](https://huggingface.co/datasets/NYTK/alpaca_hu_2k) is the Hungarian translation of a subset of the Stanford Alpaca prompts.
## Academy
### Journals
* [Acta Cybernetica](https://www.inf.u-szeged.hu/kutatas/acta-cybernetica)
### Conferences
* [MSZNY](https://rgai.inf.u-szeged.hu/mszny) Conference on Hungarian Computational Linguistics (since 2003)
### Institutes
* [Natural Language Processing Group of the PΓ‘zmΓ‘ny PΓ©ter Catholic University Faculty of Information Tehnology and Bionics](http://nlpg.itk.ppke.hu/)
* [Department of Language Technology and Applied Linguistics, RIL-MTA](http://www.nytud.hu/depts/delts/index.html)
* [Human Language Technology Research Group of the Budapest University of Technology and Economics](http://hlt.bme.hu/en/)
* [Natural Language Processing Group of the SzegedUniversity](https://rgai.inf.u-szeged.hu/nlp)
* [BME - Laboratory of Speech Acoustics](https://www.tmit.bme.hu/lsa)
## Learning resources
### Books
* [SzΓΆvegbΓ‘nyΓ‘szat](https://www.typotex.hu/book/45/tikk_domonkos_szovegbanyaszat/00)
* [SzΓΆvegbΓ‘nyΓ‘szat Γ©s mestersΓ©ges intelligencia R-ben](https://tankonyv.poltextlab.com)
* [KvantitatΓv szΓΆvegelemzΓ©s Γ©s szΓΆvegbΓ‘nyΓ‘szat a politikatudomΓ‘nyban](https://poltextlab.tk.hu/uploads/files/Kvantitativ_szovegelemzes_keszpdf.pdf)
### Courses
* [NLP Courses by the University Of Szeged](https://www.inf.u-szeged.hu/~rfarkas/hallgatok.html)
* [NLP Courses by the HLT Group of the Budapest University of Technology](https://hlt.bme.hu/hu/courses)
### Tutorials
* [Mini NLP Course by the Center Of Digital Humanities](https://pim.hu/hu/digitalis-bolcseszeti-kozpont/nyelvtechnologia-kurzus)
* [Tutorial on Text Mining for Hungarian](https://github.com/oroszgy/hungarian-text-mining-workshop)
## Communities
* [KeresΕ vilΓ‘g](http://kereses.blog.hu/) Official blog of Precognox Inc.
* [Hungarian NLP Meetup](https://www.meetup.com/Hungarian-nlp/)
* [Deep Learning Reading Seminar Meetup](https://www.meetup.com/Budapest-Deep-Learning-Reading-Seminar/)
* [HuNLP Slack](https://hunlp.slack.com/)
## Other Hungarian related resource collections
* [EENLP](https://github.com/altsoph/EENLP) The broad index of NLP resources for Eastern European languages.
* [European Language Grid](https://live.european-language-grid.eu)
* [Hugging Face Datasets (filtered for Hungarian)](https://huggingface.co/datasets?language=language:hu)
---
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