H2020Индивидуална стипендия2020–2022

CREAMT · Creativity and narrative engagement of literary texts translated by translators and neural machine translation

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2020-09-01 → 2022-08-31
Финансиране от ЕС: 175 572 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Творческата разлика между преводите на хора и машини се анализира чрез сравнение на художествени текстове и усещанията на читателите. Резултатите ще помогнат за по-доброто обучение на преводачите и подобряването на технологиите за автоматичен превод.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Creativity and narrative engagement of literary texts translated by translators and neural machine translation

The main objective of CREAMT is to explore what is meant by creativity in translation in literary translation, how to define it and quantify it, and how technology, especifically machine translation (MT) impacts creativity. The focus of the project is on the textual elements that determine creativity in translated literary texts as well as to assess the experience of the reader, to assess how effective MT is in literary translation. With this aim in mind, the following questions are asked: 1. Can we quantify creativity in texts translated by humans as opposed to those produced with the aid of machines? 2. And, since the main aim of the translation of a literary text is to preserve the reading experience of the original, what is the reader’s experience when faced with machine-translated texts? Do users exposed to different translation modalities have different reading experiences? This information is a key consideration for training future translators that will have to compete with machine-generated output, but also to train MT systems that aim to emulate the “creativeness” of human translations. Ultimately, further knowledge on readers' narrative engagement and translators' creativity in relation to MT will help us understand how technology can be of benefit and where it needs improvement. To pursue the project goals, I use the concepts of creative shifts in texts translated using MT and I triangulate this data with the readers’ narrative engagement and translation reception to understand better how creativity and technology in translation might influence readers' engagement and their enjoyment. The following project objectives were defined accordingly: • O1) To quantify creative shifts in a fictional text translated in different modalities (MT, MT post-editing and human translation) • O2) To further develop a narrative engagement scale and a reception questionnaire for translated texts • O3) To obtain quantitative data on the readers’ narrative engagement and reception of translated literary texts, and • O4) To explore if there is a relationship between creative shifts and reader’s narrative engagement scores

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Artificial Intelligence and Neural Machine Translation (MT) are at the forefront of the technology advances and are becoming ubiquitous in society. As automation increases, creativity is continuously referred as the characteristic that will differentiate us from machines. However, there is a need to understand what is meant by creativity in different contexts, and how technology impacts society in this regard. Focusing on the textual elements that determine creativity in translated literary texts and the reader experience, CREAMT uses a novel, interdisciplinary approach to assess how effective MT is in literary translation considering the ultimate user: the reader.Research has shed some light on the usability of MT in literary texts showing that it might help translators, when it comes to productivity. However, translators’ perception is that the “more creative” the literary text, the less useful MT is. But can we quantify the creativity in texts translated by humans as opposed to those produced with the aid of machines? And what is the reader’s experience when faced with machine-translated texts? Do users exposed to different translation modalities have different reading experiences? With this fellowship, I will analyse the creative aspect of literary texts translated using three modalities: MT, human translation and MT post-editing. CREAMT will quantify the reader’s experience using methodologies from Psychology, Communication and Literary Studies. This fellowship will take place in the Computational Linguistics group in the Faculty of Arts at University of Groningen under the supervision of Dr. Antonio Toral who is leading the research on MT applied to literary texts. I have also planned a one-month secondment at the Film, Media and Visual Studies at University of Augsburg with the supervision of Prof. Helena Bilandzic who is an expert in the field of narrative experience and persuasion focusing mostly on entertainment narratives.

Оригинален текст от CORDIS (на английски).

Участници

RIJKSUNIVERSITEIT GRONINGEN · GroningenКоординаторНидерландия