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Mammadzada, Sabina – International Journal of Multilingualism, 2023
The article highlights the importance of transliteration in the field of machine translation, correct writing of personal and place names, and information retrieval. It provides an overview of various approaches, models and methods available in the field of transliteration. It shows the types of transliteration methods. The article also highlights…
Descriptors: Translation, Computational Linguistics, Naming, Information Retrieval
Landerl, Karin; Castles, Anne; Parrila, Rauno – Scientific Studies of Reading, 2022
In this paper, we survey current evidence on cognitive precursors of reading in different orthographies by reviewing studies with a cross-linguistic research design. Graphic symbol knowledge, phonological awareness, morphological awareness, and rapid automatized naming were found to be associated with reading acquisition in all orthographies…
Descriptors: Contrastive Linguistics, Alphabets, Written Language, Morphology (Languages)
Chen, Lin; Perfetti, Charles A.; Fang, Xiaoping; Chang, Li-Yun – Second Language Research, 2021
When reading in a second language, a reader's first language may be involved. For word reading, the question is how and at what level: lexical, pre-lexical, or both. In three experiments, we employed an implicit reading task (color judgment) and an explicit reading task (word naming) to test whether a Chinese meaning equivalent character and its…
Descriptors: Native Language, Second Language Learning, Transfer of Training, Reading Processes
López-Escribano, Carmen; Ivanova, Anelia; Shtereva, Katerina – Electronic Journal of Research in Educational Psychology, 2018
Introduction: The present study provides description of two typologically diverse languages in origin (Slavic vs. Latin), script (Cyrillic vs. Roman), and internal structure. One of the similarities, between the two studied orthographies is that spelling-sound transparency is quite consistent in both languages. The goal of the present study was to…
Descriptors: Naming, Vocabulary Development, Correlation, Regression (Statistics)