@inproceedings{saddiki-etal-2024-lexivault,
    title = "{L}exi{V}ault: A Repository for Psycholinguistic Lexicons of Lesser-studied Languages",
    author = "Saddiki, Hind  and
      Wray, Samantha  and
      Li, Daisy",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.914",
    pages = "10459--10465",
    abstract = "This paper presents LexiVault, an open-source web tool with annotated lexicons and rich retrieval capabilities primarily developed for, but not restricted to, the support of psycholinguistic research with key measures to design stimuli for low-resource languages. Psycholinguistic research relies on human responses to carefully crafted stimuli for a better understanding of the mechanisms by which we learn, store and process language. Stimuli design captures specific language properties such as frequency, morphological complexity, or stem likelihood in a part of speech, typically derived from a corpus that is representative of the average speaker{'}s linguistic experience. These measures are more readily available for well-resourced languages, whereas efforts for lesser-studied languages come with substantial overhead for the researcher to build corpora and calculate these measures from scratch. This stumbling block widens the gap, further skewing our modeling of the mental architecture of linguistic processing towards a small, over-represented set of the world{'}s languages. To lessen this burden, we designed LexiVault to be user friendly and accommodate incremental growth of new and existing low-resource language lexicons in the system through moderated community contributions while abstracting programming complexity to foster more interest from the psycholinguistics community in exploring low-resource languages.",
}

This paper presents LexiVault, an open-source web tool with annotated lexicons and rich retrieval capabilities primarily developed for, but not restricted to, the support of psycholinguistic research with key measures to design stimuli for low-resource languages. Psycholinguistic research relies on human responses to carefully crafted stimuli for a better understanding of the mechanisms by which we learn, store and process language. Stimuli design captures specific language properties such as frequency, morphological complexity, or stem likelihood in a part of speech, typically derived from a corpus that is representative of the average speaker{'}s linguistic experience. These measures are more readily available for well-resourced languages, whereas efforts for lesser-studied languages come with substantial overhead for the researcher to build corpora and calculate these measures from scratch. This stumbling block widens the gap, further skewing our modeling of the mental architecture of linguistic processing towards a small, over-represented set of the world{'}s languages. To lessen this burden, we designed LexiVault to be user friendly and accommodate incremental growth of new and existing low-resource language lexicons in the system through moderated community contributions while abstracting programming complexity to foster more interest from the psycholinguistics community in exploring low-resource languages.
Saddiki, Hind Wray, Samantha Li, Daisy
LexiVault: A Repository for Psycholinguistic Lexicons of Lesser-studied Languages