A poetic cycle is a specific case of poetic contextualisation and for translators this means additional efforts in identifying the micro- and macro-level network of functional and semantic links. Joseph Brodsky’s cycle A Part of Speech represents a highly conceptual approach and strong integration of each and every poem. In this context the paper briefly outlines different types of micro- and macroscopic approaches to poetry translation. Further practical analysis of some translation issues observed in the respective English and Latvian translations show that decisions of poetry translators are informed by different backgrounds in the author-text-reader relationships. Artistic creativity is certainly present in the translation activity but this does not mean that a completely independent target text is produced.
Karl Dedecius’ Translations of Tadeusz Różewicz’s Poetry Into German Karl Dedecius is one of the most important figures representing Polish literature and culture in Germany. His activity went beyond the conventional framework of a translator’s competence. Karl Dedecius and Tadeusz Różewicz were eternally bound by many years of friendship, which had a beneficial influence on publishing „Formen der Unruhe”. The author of this article attempts to describe the translation of Tadeusz Różewicz’s poem „W środku życia” into German. Różewicz’s writing requires exceptional sensitivity due to its multidimensionality and innovation. Dedecius’ individual translation theory is the basis of many analyses. The paper aims at demonstrating a translator’s individual decisions interpreted from the point of view of Roman Lewicki’s translation model.
Drawing on its author’s Czech translation of nearly seventy poems from Shakespeare’s sonnet cycle, which lies at the very crux of the European literary canon, this paper shares a few insights into the workshop of a classical poetry translator. It explores the phonetic, structural, semantic and imaginative complexities of the most frequently translated sonnet sequence, and shows, step by step, the way a translator has to deal with the various features of Shakespeare’s poems if one’s translation is not to lose its poetry. Thus, the translator’s decision making process is discussed here, showing multiple examples of how the Czech rendering of Shakespeare’s individual lines have evolved to form a quatrain, a couplet, or, as in the case of sonnet 64, the complete poem. In a broader sense, the paper argues against the popular remark by Robert Frost that “poetry is what gets lost in translation”.
The article presents a short comparative analysis of two versions of the English ro mance in verse Sir Gawain and the Green Knight – the original text from the 14th century and its modern translation by J.R.R. Tolkien. The Middle English source text uses a North-West English dialect and is an interesting example of a late revival of alliteration originally rooted in the old English tradition. Alliteration as a formal organizing principle is combined with end-rhymes which complete the structure of the poem; this is both sophisticated and rare. Tolkien’s modern rendition of the romance recognizes and respects its dominant structural elements and attempts to recreate all the formal aspects of the text as adequately as possible. The modern version, while being a translation, acquires the semi-authorial signature of Tolk ien, both a translator and scholar who creates a highly competent and historically informed rendition. The translator’s craft is particularly visible when Tolkien’s ver sion is juxtaposed with the Polish translation by Andrzej Wicher. The linguistic and cultural distance between Polish and English is larger than the distance between the original and the modern rendition in English, and, as a result, the translation of Andrzej Wicher manages to reproduce only a limited number of alliterations and hence loses many artistic features that were essential components of the original text.
In 1950, the brilliant British mathematician Alan Turing proposed a test to determinea computer’s ability to generate natural language sentences. The computer passed the test when the human communicating with it by means of a screen was unable to discern if they were talking to another human or to a machine. Today the dynamic development of machine translation software makes us wonder about the possibilities of automatically translating literature, including poetry. Can a computer- generated translation pass for a human one? What linguistic and textual phenomena are most likely to expose the artificial intelligence of the translator? Can the computer-generated translation be viewed as a work of art?
PL
W 1950 roku wybitny brytyjski matematyk Alan Turing zaproponował test określający zdolność komputera do generowania zdań języka naturalnego. Komputer pomyślnie przechodził próbę, jeśli rozmawiający z nim za pośrednictwem ekranu człowiek nie był w stanie stwierdzić, czy jego interlokutorem jest homo sapiens, czy maszyna. Dziś dynamiczny rozwój komputerowych programów tłumaczeniowych skłania do pytań o możliwości maszynowego przekładu tekstu literackiego, w tym poetyckiego. Czy tłumacz elektroniczny może przełożyć wiersz tak, by odbiorca myślał, że przekładu dokonał człowiek? Jakie zjawiska językowe i tekstowe najbardziej demaskują sztuczną inteligencję translatora? Czy stworzony w ten sposób tekst można rozpatrywać w kategorii dzieła sztuki?
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