@inproceedings{oral-etal-2024-turkish,
    title = "{T}urkish Typo Correction for {E}-Commerce Search Engines",
    author = {Oral, Elif  and
      Mancuhan, Koray  and
      Erdem, H{\"u}seyin Varol  and
      Hatipoglu, P{\i}nar Ece},
    editor = "Malmasi, Shervin  and
      Fetahu, Besnik  and
      Ueffing, Nicola  and
      Rokhlenko, Oleg  and
      Agichtein, Eugene  and
      Guy, Ido",
    booktitle = "Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.ecnlp-1.7",
    pages = "65--73",
    abstract = "Typo correction is a challenging problem when it is developed for morphologically rich languages. The existing approaches in the literature are successful mainly for English, leaving the problem open for such languages. This creates an issue, because the typo correction is a critical component in practice for many systems such as search engines. Especially, the search engines of e-commerce platforms rely heavily on typo correction for product relevancy. A bad performing typo corrector could result in very few number of relevant products when a user is looking for a product on an e-commerce platform, resulting in significant revenue decrease. For the first time in the literature, this paper proposes a modern typo corrector for a morphologically rich language, Turkish; which is integrated to the search engine of one of the leading e-commerce platforms in Turkey, Hepsiburada. Our thorough experiments show that this new typo corrector performs very successful in practice, outperforming the existing Turkish specific propositions in the literature; even if it is applied out of the context of the search engines.",
}

Typo correction is a challenging problem when it is developed for morphologically rich languages. The existing approaches in the literature are successful mainly for English, leaving the problem open for such languages. This creates an issue, because the typo correction is a critical component in practice for many systems such as search engines. Especially, the search engines of e-commerce platforms rely heavily on typo correction for product relevancy. A bad performing typo corrector could result in very few number of relevant products when a user is looking for a product on an e-commerce platform, resulting in significant revenue decrease. For the first time in the literature, this paper proposes a modern typo corrector for a morphologically rich language, Turkish; which is integrated to the search engine of one of the leading e-commerce platforms in Turkey, Hepsiburada. Our thorough experiments show that this new typo corrector performs very successful in practice, outperforming the existing Turkish specific propositions in the literature; even if it is applied out of the context of the search engines.
Oral, Elif Mancuhan, Koray Erdem, H{\"u}seyin Varol Hatipoglu, P{\i}nar Ece
Turkish Typo Correction for E-Commerce Search Engines