IDEAS home Printed from https://ideas.repec.org/a/ejn/ejssjr/v5y2017i1p37-47.html
   My bibliography  Save this article

Multi-Word Compound Consistency Issues In Spelling. The Case Of Legal Language Of Bank Contracts

Author

Listed:
  • Katerina T. Frantzi

    (University of the Aegean, Greece)

  • Konstantina Vadasi

    (University of the Aegean, Greece)

Abstract

This study deals with the identification of inconsistencies in the way of spelling specific Greek word formulations, focusing on the spelling of specific multi-word compounds either as one or as two words. Spelling inconsistencies are very useful to find since they can cause problems in translation and in communication in general. The existence of such inconsistencies is explored in a number of Greek dictionaries and grammars. These inconsistencies are particularly important to find in Languages for Specific Purposes and this work focuses on the special language used in bank contracts. The special language of bank contracts has been chosen due to its importance in the current world economic situation. A corpus-based methodology is applied, ensuring accuracy and completeness, for processing BanCo, the dynamic Greek corpus of bank contract documents, for the exploitation of spelling situations in real language material. The processing reveals a variety of multi-word compounds that often appear with different spellings.

Suggested Citation

  • Katerina T. Frantzi & Konstantina Vadasi, 2017. "Multi-Word Compound Consistency Issues In Spelling. The Case Of Legal Language Of Bank Contracts," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 5(1), pages 37-47.
    • Handle: RePEc:ejn:ejssjr:v:5:y:2017:i:1:p:37-47
    as

    Download full text from publisher

    File URL: https://eurasianpublications.com/wp-content/uploads/2021/02/EJSS-5.1.4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesco Corea & Enrico Maria Cervellati, 2015. "The Power of Micro-Blogging: How to Use Twitter for Predicting the Stock Market," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 3(4), pages 1-7.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Heba Ali, 2018. "Twitter, Investor Sentiment and Capital Markets: What Do We Know?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(8), pages 158-158, August.
    2. Thomas Dierckx & Jesse Davis & Wim Schoutens, 2020. "Using Machine Learning and Alternative Data to Predict Movements in Market Risk," Papers 2009.07947, arXiv.org.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ejn:ejssjr:v:5:y:2017:i:1:p:37-47. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Esra Barakli (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.