Translation Quality Assessment (TQA): A Semiotic Model for Poetry Translation

Dastjerdi, Hossein Vahid; Khosravani, Yasamin; Shokrollahi, Masoud; Mohiman, Nasim

doi:10.1515/les.2011.021

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…We then tokenized the texts, making them ready for language processing tools. The translations were assessed based on a combination of quantitative and qualitative equivalence measures, using the metrics put forward by Dastjerdi et al (2011) and considerations in Boase-Beier (2013) to shape these criteria. They encompass lexical density and diversity, part-of-speech (POS) composition, adjective-to-verb ratio, rhyme scheme and meter, tropes and figures of speech, as well as emotion and tone.…”

Section: Research Materials and Methodologymentioning

confidence: 99%

AI-translated poetry: Ivan Franko's poems in GPT-3.5-driven machine and human-produced translations

Karaban,

Karaban

2024

Forum Linguist. Stud.

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The article presents a detailed comparative analysis of translations of twelve great Ukrainian poet Ivan Franko’s poems done by translator Percival Cundy and the GPT-3.5 AI language model. Using various manual and automatic analytical research methods and techniques, we analyzed the translations’ merits, demerits, and eight essential qualitative and quantitative linguistic and poetic characteristics to verify a hypothesis that human and GPT-3.5-driven machine translations can be quite comparable in terms of their quality and poetic features. The results obtained sufficiently prove the hypothesis and suggest that developing AI translation potential for poetry translation can help build more capable, diversified, and nuanced large language models. The AI revolutionary breakthrough in translation makes it quite possible to acquaint satisfactorily the wider public with the poetic heritage of the world’s nations, especially those using minor languages, whose poetry is evidently under-translated. A follow-up study is desirable to assess the progress made by GPT4.0 and its possible later versions in poetry translation, as compared with GPT-3.5.

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Section: Research Materials and Methodologymentioning

confidence: 99%

AI-translated poetry: Ivan Franko's poems in GPT-3.5-driven machine and human-produced translations

Karaban,

Karaban

2024

Forum Linguist. Stud.

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A preliminary pragmatic model to evaluate poetry translation

Kiran

Mojibur

2018

Babel

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The article presents a Preliminary Pragmatic Model (PPM) with the practical levels of pragmatic features. Poetry translation pose great difficulty in retaining the ‘extra-linguistic features’ of the source text and target text. When placing more emphasis on linguistic features, ‘extra-linguistics’ are ignored by the evaluators. This lack is largely due to the non authentication of pragmatics of the languages involved and the non-development of ‘extra-linguistic’ parameters for evaluation. Focusing on this fact, the study takes pragmatic as the common denominator between poetry and translation, and develops a pragmatic model. The model adopts the concept and objective from the prominent Translation Quality Assessment (TQA) model of Juliane House, and the two models of Hossein Vahid Dastjerdi and his team: (a) Practical Model for Translation Analysis and Assessment of Poetic Discourse, and (b) Semiotic Model for Poetry Translation. The model is an extended part of Vahid’s model with pragmatic (features) layering. The article is prefaced with a brief description of the pragmatic features and functions to explain how and why it matters to compare poetry translation. Later, the effectiveness of the model is tested with a randomly-selected short poem by Gulzar and its English translation by Nirupama Dutt. Gulzar is an Indian poet writing in Hindustani (a mix of Hindi and Urdu). Versing mostly in free style, he makes his poems pragmatically poignant with unusual imagery. Evaluating his poems through the model verifies its working. The findings (tabulated, compared, and discussed) show literal translation of metaphors that becomes displaced as well as losing the sense in the poem. Thus, the translation misses the pragmatic force of Gulzar’s philosophy and does not achieve dynamic equivalence. The study recommends the application of pragmatic procedure for evaluation of poetry translation and offer new possibilities in translation research.

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Translation quality research

Akbari

2018

Babel

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Recently, there is a growing interest in the development of translation quality research programmes at different stages worldwide. Scholars and researchers have paid much attention to the quality of translation; however, there is a dearth of meta-analyses of studies and research in the field of translation quality research. In fact there has been no systematic review since 2000. The purpose of the current research paper is to design translation quality research through the construction of a database of 14 peer-reviewed journal publications during the period 2000 to 2017. A combination of thematic and methodological analyses, scientometric methods, and corpus tool were applied to analyse the extracted database. Also, top-down and bottom-up procedures were conducted to minimise the subjectivity of thematic analysis. The present research scrutinised the extracted database on the basis of four main criteria, namely theoretical importance, pertinence to empirical and non-empirical research, the size of readership, and geographical coverage including institutions and countries. Finally, this database aims at serving as a resource for researchers and scholars to become familiar with the most cutting edge information on developments in translation quality research, challenges within this field, and the possible trajectories for future research.

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Translation Quality Assessment (TQA): A Semiotic Model for Poetry Translation

Cited by 4 publications

References 3 publications

AI-translated poetry: Ivan Franko's poems in GPT-3.5-driven machine and human-produced translations

AI-translated poetry: Ivan Franko's poems in GPT-3.5-driven machine and human-produced translations

A preliminary pragmatic model to evaluate poetry translation

Translation quality research

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