CITATION.cff

cff-version: 1.2.0
message: 'If you use this software in your work, please cite both the article from preferred-citation and the software itself: https://huspacy.github.io/huspacy/publications/'
title: 'Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines'
authors:
  - given-names: György
    family-names: Orosz
  - given-names: Zsolt
    family-names: Szántó
  - given-names: Péter
    family-names: Berkecz
  - given-names: Gergő
    family-names: Szabó
  - given-names: Richárd
    family-names: Farkas
repository-code: https://github.com/huspacy/huspacy
repository-artifact: https://huggingface.co/huspacy
keywords:
  - spaCy
  - Hungarian
  - NLP
type: software
url: https://huspacy.github.io
date-released: 2022-01-05
contact:
    - email: "gyorgy@orosz.link"
      family-names: Orosz
      given-names: György
preferred-citation:
    type: article
    title: 'Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines'
    abstract: "This paper presents a set of industrial-grade text processing models for Hungarian that achieve near state-of-the-art performance while balancing resource efficiency and accuracy. Models have been implemented in the spaCy framework, extending the HuSpaCy toolkit with several improvements to its architecture. Compared to existing NLP tools for Hungarian, all of our pipelines feature all basic text processing steps including tokenization, sentence-boundary detection, part-of-speech tagging, morphological feature tagging, lemmatization, dependency parsing and named entity recognition with high accuracy and throughput. We thoroughly evaluated the proposed enhancements, compared the pipelines with state-of-the-art tools and demonstrated the competitive performance of the new models in all text preprocessing steps. All experiments are reproducible and the pipelines are freely available under a permissive license."
    doi: "10.1007/978-3-031-40498-6_6"
    identifiers:
    - type: other
      value: "arXiv:2308.12635"
      description: The ArXiv preprint of the paper
    authors:
      - given-names: György
        family-names: Orosz
      - given-names: Gergő
        family-names: Szabó
      - given-names: Péter
        family-names: Berkecz
      - given-names: Zsolt
        family-names: Szántó
      - given-names: Richárd
        family-names: Farkas
    year: "2023"
    start: 58
    end: 69
    conference:
        name: 'Text, Speech, and Dialogue 2023'
    editors-series:
        - family-names: Kamil
          given-names: Ekštein
        - family-names: František
          given-names: Pártl
        - family-names: Miloslav
          given-names: Konopík
    journal: "Text, Speech, and Dialogue: TSD 2023. Lecture Notes in Computer Science"
    issue-title: "TSD 2023: Text, Speech, and Dialogue"
    volume-title: "TSD 2023: Text, Speech, and Dialogue"
    volume: 14102
    isbn: 978-3-031-40498-6
    publisher:
        name: "Springer Nature Switzerland"
        city: Cham