PyData Global 2022

Sidra Effendi

Sidra Effendi is a Master's student at the University of Michigan, Ann Arbor in the School of Information. Her areas of interest are Information Retrieval, NLP, and data visualization. She has prior experience working as a Software Engineer and had her own startup which gave her exposure into UX and market research. At the University of Michigan, she developed a search engine funded by Microsoft and an NLP based digital curation assistant for UN ReliefWeb .

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Sessions

12-01
20:30
30min
Urdu poems to Shakespearean English - Machine Translation
Sidra Effendi

All languages are rich in prose and poetry. A lot of the literature is inaccessible because of a lack of understanding of that language. It is often diļ¬€icult to appreciate a simple translation of a poem due to gaps in cultural knowledge. A poem translated in the style of an author familiar to the reader might help to both add cultural context for the reader and capture the essence of the poem itself.

Talk Track I