Papers by Ali Hatami

1 papers
Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet (2022.naacl-srw)

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Challenge: Recent studies in machine translation have been focusing on using visual information to improve the translation quality of sentences.
Approach: They propose to use visual information to improve the output quality of a text-based translation model by extracting ambiguity scores from WordNet.
Outcome: The proposed model improves translation quality for all sentences in the English-German dataset.

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