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pro vyhledávání: '"Uluslu, Ahmet Yavuz"'
Autor:
Uluslu, Ahmet Yavuz, Schneider, Gerold
In this paper, we present the first application of Native Language Identification (NLI) for the Turkish language. NLI involves predicting the writer's first language by analysing their writing in different languages. While most NLI research has focus
Externí odkaz:
http://arxiv.org/abs/2307.14850
Autor:
Uluslu, Ahmet Yavuz, Schneider, Gerold
This paper presents the first comprehensive study on automatic readability assessment of Turkish texts. We combine state-of-the-art neural network models with linguistic features at lexical, morphosyntactic, syntactic and discourse levels to develop
Externí odkaz:
http://arxiv.org/abs/2306.03774
Autor:
Uluslu, Ahmet Yavuz, Schneider, Gerold
Native language identification (NLI) is the task of automatically identifying the native language (L1) of an individual based on their language production in a learned language. It is useful for a variety of purposes including marketing, security and
Externí odkaz:
http://arxiv.org/abs/2211.10117
Autor:
Uluslu, Ahmet Yavuz
In this paper, we present the first automatic lexical simplification system for the Turkish language. Recent text simplification efforts rely on manually crafted simplified corpora and comprehensive NLP tools that can analyse the target text both in
Externí odkaz:
http://arxiv.org/abs/2201.05878