Abstract
There are many methods to compute the similarity rate of two texst. String similarity computing methods are generally improved through thinking English. Thus, even they are succesfull for the texts in English; they may not perform as the same for Turkish texts. Therefore, in this work a new similarity computing method has been improved by modeling some misspelling cases oftenly encountered in matching Turkish texts and computing similarities.
Keywords
Turkish
Similarity (geometry)
Computer science
String (physics)
Natural language processing
Artificial intelligence
Linguistics
Mathematics
Philosophy
Subject Areas
Data Quality and Management
·Management Science and Operations Research ·Social Sciences
Topic Modeling
·Artificial Intelligence ·Physical Sciences
Natural Language Processing Techniques
·Artificial Intelligence ·Physical Sciences
Citations by Year
2014: 1
2019: 2
2025: 1
OpenAlex SDG Match
SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).
Quality Education 79%
Loading…
Loading…