Ena Hodzik
Biographic Data
| ID | 1624437 |
|---|---|
| NAME | Ena Hodzik |
| GIVEN NAMES | Ena |
| FAMILY NAME | Hodzik |
| SIGNATURE | HODZIK E |
| AFFILIATIONS | Notre Dame University – Louaize |
| ORCID | 0000-0001-5174-5596 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Stylistic Features and Creativity in Machine Translation of Literary Texts
Computer-assisted literary translation has become a trending topic of discussion with both its possible benefits and negative impact on creativity and voice. We investigate distinctive stylistic features and the degree of creativity in the outputs generated by three English–Turkish machine translation (MT) models: (1) a customized MT model trained with literary texts, (2) a pre-trained MT model with general texts, and (3) an online MT model,…
Simultaneous interpreting experience enhances semantic prediction in Turkish
This study investigates prediction based on verb semantics in a Turkish monolingual comprehension task in professional and student Turkish (A)–English (B) interpreters. Predictive eye movements were compared between the two groups to examine potential differences in the size of the semantic prediction effect. In addition, the participants’ working memory capacity was measured to see whether working memory facilitates prediction and whether this f…
Strategic syntactic restructuring during simultaneous interpreting from Turkish into English
This study investigated the effects of contextual constraint and transitional probability on verb interpreting latency and syntactic restructuring during simultaneous interpreting from Turkish verb-final into English (verb-medial) sentences by trainee and professional Turkish (A)—English (B) interpreters. We found that contextual constraint, but not transitional probability, leads to both a decrease in interpreting latency on the sentence-final v…
Simultaneous interpreting experience enhances the use of case markers for prediction in Turkish
This study investigated individual differences in prediction during language comprehension in professional and student Turkish (A)–English (B) simultaneous interpreters as a function of simultaneous interpreting (SI) experience and working memory capacity (WMC). A Turkish visual-world eye-tracking prediction task examined whether the accusative versus the nominative case markers on the initial nouns of sentences could be used as cues to predictin…
Predictive processes during simultaneous interpreting from German into English
We report a study on prediction in shadowing and simultaneous interpreting (SI), both considered as forms of real-time, ‘online’ spoken language processing. The study comprised two experiments, focusing on: (i) shadowing of German head-final sentences by 20 advanced students of German, all native speakers of English; (ii) SI of the same sentences into English head-initial sentences by 22 advanced students of German, again native English speakers,…
Predictive processes during simultaneous interpreting from German into English
We report a study on prediction in shadowing and simultaneous interpreting (SI), both considered as forms of real-time, ‘online’ spoken language processing. The study comprised two experiments, focusing on: (i) shadowing of German head-final sentences by 20 advanced students of German, all native speakers of English; (ii) SI of the same sentences into English head-initial sentences by 22 advanced students of German, again native English speakers,…
Simultaneous interpreting experience enhances the use of case markers for prediction in Turkish
This study investigated individual differences in prediction during language comprehension in professional and student Turkish (A)–English (B) simultaneous interpreters as a function of simultaneous interpreting (SI) experience and working memory capacity (WMC). A Turkish visual-world eye-tracking prediction task examined whether the accusative versus the nominative case markers on the initial nouns of sentences could be used as cues to predictin…
Predictive processes during simultaneous interpreting from German into English
We report a study on prediction in shadowing and simultaneous interpreting (SI), both considered as forms of real-time, ‘online’ spoken language processing. The study comprised two experiments, focusing on: (i) shadowing of German head-final sentences by 20 advanced students of German, all native speakers of English; (ii) SI of the same sentences into English head-initial sentences by 22 advanced students of German, again native English speakers,…
Simultaneous interpreting experience enhances the use of case markers for prediction in Turkish
This study investigated individual differences in prediction during language comprehension in professional and student Turkish (A)–English (B) simultaneous interpreters as a function of simultaneous interpreting (SI) experience and working memory capacity (WMC). A Turkish visual-world eye-tracking prediction task examined whether the accusative versus the nominative case markers on the initial nouns of sentences could be used as cues to predictin…
Strategic syntactic restructuring during simultaneous interpreting from Turkish into English
This study investigated the effects of contextual constraint and transitional probability on verb interpreting latency and syntactic restructuring during simultaneous interpreting from Turkish verb-final into English (verb-medial) sentences by trainee and professional Turkish (A)—English (B) interpreters. We found that contextual constraint, but not transitional probability, leads to both a decrease in interpreting latency on the sentence-final v…
Stylistic Features and Creativity in Machine Translation of Literary Texts
Computer-assisted literary translation has become a trending topic of discussion with both its possible benefits and negative impact on creativity and voice. We investigate distinctive stylistic features and the degree of creativity in the outputs generated by three English–Turkish machine translation (MT) models: (1) a customized MT model trained with literary texts, (2) a pre-trained MT model with general texts, and (3) an online MT model,…
Simultaneous interpreting experience enhances semantic prediction in Turkish
This study investigates prediction based on verb semantics in a Turkish monolingual comprehension task in professional and student Turkish (A)–English (B) interpreters. Predictive eye movements were compared between the two groups to examine potential differences in the size of the semantic prediction effect. In addition, the participants’ working memory capacity was measured to see whether working memory facilitates prediction and whether this f…
Computer Science (4 works) · Interpreting and Communication in Healthcare (4 works) · Linguistics (4 works) · Turkish (4 works) · Natural language processing (3 works) · Neurobiology of Language and Bilingualism (3 works) · Artificial Intelligence (2 works) · Interpreter (2 works) · Language, Discourse, Communication Strategies (2 works) · Language, Metaphor, and Cognition (2 works)