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Investigating Lexical Substitution Scoring for Subtitle Generation

Related publications (13)

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

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This paper introduces TACOSS a text-image alignment approach that allows explainable land cover semantic segmentation by directly integrating semantic concepts encoded from texts. TACOSS combines convolutional neural networks for visual feature extraction ...

The Institute of Electrical and Electronics Engineers, Inc2023

Word Sense Consistency in Statistical and Neural Machine Translation

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Different senses of source words must often be rendered by different words in the target language when performing machine translation (MT). Selecting the correct translation of polysemous words can be done based on the contexts of use. However, state-of-th ...

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2016

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Elsevier Science Bv2013

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In this paper, we question the homogeneity of a large parallel corpus by measuring the similarity between various sub-parts. We compare results obtained using a general measure of lexical similarity based on c2 and by counting the number of discourse conne ...

2011

Investigating Lexical Substitution Scoring for Subtitle Generation

Samy Bengio, Mikaela Keller

This paper investigates an isolated setting of the lexical substitution task of replacing words with their synonyms. In particular, we examine this problem in the setting of subtitle generation and evaluate state of the art scoring methods that predict the ...

IDIAP2006

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