Man vs. Machine: Extracting Character Networks from Human and Machine Translations
Most of the work on Character Networks to date is limited to monolingual texts. Conversely, in this paper we apply and analyze Character Networks on both source texts (English novels) and their Finnish translations (both human- and machine-translated). We assume that this analysis could provide some insights on changes in translations that could modify the character networks, as well as the narrative. The results show that the character networks of translations differ from originals in case of long novels, and the differences may also vary depending on the novel and translator’s strategy.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach
The growing popularity of neural machine translation (NMT) and LLMs represented by ChatGPT underscores the need for a deeper understanding of their distinct characteristics and relationships. Such understanding is crucia…
Machine TranslationNMTTranslationCharacterizing the Effects of Translation on Intertextuality using Multilingual Embedding Spaces
Rhetorical devices are difficult to translate, but they are crucial to the translation of literary documents. We investigate the use of multilingual embedding spaces to characterize the preservation of intertextuality, o…
Machine TranslationTranslationMulti-perspective Alignment for Increasing Naturalness in Neural Machine Translation
Neural machine translation (NMT) systems amplify lexical biases present in their training data, leading to artificially impoverished language in output translations. These language-level characteristics render automatic …
DiversityMachine TranslationNMTTranslationSubCo: A Learner Translation Corpus of Human and Machine Subtitles
In this paper, we present a freely available corpus of human and automatic translations of subtitles. The corpus comprises, the original English subtitles (SRC), both human (HT) and machine translations (MT) into German,…
Machine TranslationTranslationA Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation
We present an approach to interactive-predictive neural machine translation that attempts to reduce human effort from three directions: Firstly, instead of requiring humans to select, correct, or delete segments, we empl…
Machine Translationreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1