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Cross-Lingual Speech-to-Text Summarization

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Multimedia and Network Information Systems (MISSI 2018)

Abstract

Cross-Lingual Text Summarization generates a summary in a language different from the language of the source documents. We propose a French-to-English cross-lingual transcript summarization framework that automatically segments a French transcript and analyzes the information in the source and the target languages to estimate the saliency of sentences. Additionally, we use a multi-sentence compression method to simultaneously compress and improve the informativeness of sentences. Experimental results show that our framework outperformed extractive methods using automatic sentence segmentation, even with transcription errors.

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Acknowledgement

This work was granted by the European Project CHISTERA-AMIS ANR-15-CHR2-0001.

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Correspondence to Elvys Linhares Pontes .

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Linhares Pontes, E., González-Gallardo, CE., Torres-Moreno, JM., Huet, S. (2019). Cross-Lingual Speech-to-Text Summarization. In: Choroś, K., Kopel, M., Kukla, E., Siemiński, A. (eds) Multimedia and Network Information Systems. MISSI 2018. Advances in Intelligent Systems and Computing, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-319-98678-4_39

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