# Syllable-, Bigram-, and Morphology-Driven Pseudoword Generation in Greek
## 5 Discussion and Conclusions
SyBig-r-Morph has several advantages over similar tools like UniPseudo. For instance, SyBig-r-Morph is more effective at producing words that adhere to proper phonotactic rules and follow Greek orthographic standards. Additionally, unlike UniPseudo, SyBig-r-Morph determines word length based on the number of syllables rather than the number of characters, allowing it to easily generate words that meet the user's specified length criteria. Although designed for different languages, both SyBig-r-Morph and Wuggy employ frequency criteria, but they implement these criteria in different ways. Wuggy focuses on transition frequencies between sub-syllabic components; for example, it compares the \(i\) to \(sk\) transition in the pseudoword _misk_ with the \(i\) to \(lk\) transition in the word _milk_. In contrast, SyBig-r-Morph uses Zipf's frequency to choose either low- or high-frequency words as bases for generating pseudowords and further employs Levenshtein distance to assess phonological similarity. Finally, Wuggy operates on a single-lexicon system, whereas SyBig-r-Morph features a dual (or multiple) lexicon. The features described above render SyBig-r-Morph useful for linguistic studies, as it produces phonologically well-formed pseudowords that maintain the structural properties of specific Greek grammatical categories. However, the system has two notable limitations, as follows: it cannot produce pseudowords that violate the morphophonological rules of Greek, nor can it deliver stressed words. In future research, we plan to enhance SyBig-r-Morph with additional features allowing users to construct pseudowords based on more criteria beyond frequency and word similarity considerations. For instance, users can specify the morphosyntactic category and inflectional and derivational affixes for pseudoword beginnings or endings. We also aim to improve the lexicon component by incorporating more comprehensive Greek databases and corpora. These enhancements will increase the tool's usability and expand its applicability across multiple languages and linguistic contexts. Conceptualization, K.K. ; methodology, K.K., V.A. and A.R. ; software, K.K. and A.R. ; validation, V.A. and A.R. ; formal analysis, K.K., V.A. and A.R. ; writing\(-\)original draft preparation, K.K., V.A. and A.R. ; writing\(-\)review and editing, K.K., V.A. and A.R. ; visualization, A.R. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The code for our application and the installation guidelines are available in the Github repository at [[https://github.com/revit/71/sybig-r-morph](https://github.com/revit/71/sybig-r-morph)]([https://github.com/revit/71/sybig-r-morph](https://github.com/revit/71/sybig-r-morph)) (accessed on 8 June 2025). The application also operates at [[https://revit.pythonanywhere.com/](https://revit.pythonanywhere.com/)]([https://revit.pythonanywhere.com/](https://revit.pythonanywhere.com/)) (accessed on 8 June 2025). During the last two years, from the beginning of the work (which includes conducting the research and preparing the manuscript for submission), there have been no competing interests directly or indirectly related to the current work submitted for publication.