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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Banerjee, S., Mitra, P., Sugiyama, K.: Multi-document abstractive summarization using ILP based multi-sentence compression. In: 24th International Conference on Artificial Intelligence (IJCAI), IJCAI 2015, pp. 1208–1214 (2015)
Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. arXiv preprint arXiv:1607.04606 (2016)
Christensen, H., Gotoh, Y., Kolluru, B., Renals, S.: Are extractive text summarisation techniques portable to broadcast news? In: IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 489–494 (2003)
Filippova, K.: Multi-sentence compression: Finding shortest paths in word graphs. In: COLING, pp. 322–330 (2010)
Furui, S., Kikuchi, T., Shinnaka, Y., Hori, C.: Speech-to-text and speech-to-speech summarization of spontaneous speech. IEEE Trans. Speech Audio Process. 12(4), 401–408 (2004)
Giannakopoulos, G., El-Haj, M., Favre, B., Litvak, M., Steinberger, J., Varma, V.: TAC2011 multiling pilot overview. In: 4th Text Analysis Conference TAC (2011)
González-Gallardo, C.E., Torres-Moreno, J.M.: Sentence boundary detection for French with subword-level information vectors and convolutional neural networks. ArXiv, February 2018
Kovář, V., Horák, A., Jakubíček, M.: Syntactic analysis using finite patterns: a new parsing system for czech. In: Language and Technology Conference, pp. 161–171. Springer (2009)
Kulkarni, N., Finlayson, M.A.: jMWE: a Java toolkit for detecting multi-word expressions. In: Workshop on Multiword Expressions: From Parsing and Generation to the Real World (MWE), pp. 122–124 (2011)
Leuski, A., Lin, C.Y., Zhou, L., Germann, U., Och, F.J., Hovy, E.: Cross-lingual C*ST*RD: English access to Hindi information, vol. 2, no. 3, pp. 245–269, September 2003
Lin, C.Y.: ROUGE: a package for automatic evaluation of summaries. In: Workshop Text Summarization Branches Out (ACL 2004), pp. 74–81 (2004)
Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: 52nd Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, pp. 55–60 (2014)
McKeown, K., Hirschberg, J., Galley, M., Maskey, S.: From text to speech summarization. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 5, p. v/997 (2005)
Mrozinski, J., Whittaker, E.W., Chatain, P., Furui, S.: Automatic sentence segmentation of speech for automatic summarization. In: IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (ICASSP) (2006)
Niu, J., Chen, H., Zhao, Q., Su, L., Atiquzzaman, M.: Multi-document abstractive summarization using chunk-graph and recurrent neural network. In: IEEE International Conference on Communications, ICC, pp. 1–6 (2017)
Och, F.J., Ney, H.: A systematic comparison of various statistical alignment models. Comput. Linguist. 29(1), 19–51 (2003)
Orasan, C., Chiorean, O.A.: Evaluation of a cross-lingual Romanian-English multi-document summariser. In: 6th International Conference on Language Resources and Evaluation (LREC) (2008)
Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web. In: 7th International World Wide Web Conference, Brisbane, Australia, pp. 161–172 (1998)
Pontes, E.L., Huet, S., Torres-Moreno, J.M., Linhares, A.C.: Cross-language text summarization using sentence and multi-sentence compression. In: Natural Language Processing and Information Systems. pp. 467–479. Springer International Publishing, Cham (2018)
Pontes, E.L., Huet, S., Gouveia da Silva, T., Linhares, A.C., Torres-Moreno, J.M.: Multi-sentence compression with word vertex-labeled graphs and integer linear programming. In: TextGraphs-12: The Workshop on Graph-Based Methods for Natural Language Processing. ACL (2018)
Pontes, E.L., Torres-Moreno, J.M., Linhares, A.C.: LIA-RAG: a system based on graphs and divergence of probabilities applied to speech-to-text summarization. In: Addendum, M..P. (ed.) Multiling CCCS (2015)
Rott, M., Červa, P.: Speech-to-text summarization using automatic phrase extraction from recognized text. In: International Conference on Text, Speech, and Dialogue (TSD), pp. 101–108. Springer (2016)
Taskiran, C.M., Pizlo, Z., Amir, A., Ponceleon, D., Delp, E.J.: Automated video program summarization using speech transcripts. IEEE Trans. Multimedia 8(4), 775–791 (2006)
Torres-Moreno, J.M.: Automatic Text Summarization. Wiley, London (2014)
Wan, X.: Using bilingual information for cross-language document summarization. In: ACL, pp. 1546–1555 (2011)
Wan, X., Li, H., Xiao, J.: Cross-language document summarization based on machine translation quality prediction. In: ACL, pp. 917–926 (2010)
Wan, X., Luo, F., Sun, X., Huang, S., Yao, J.g.: Cross-language document summarization via extraction and ranking of multiple summaries. In: Knowledge and Information Systems (2018)
Yao, J., Wan, X., Xiao, J.: Phrase-based compressive cross-language summarization. In: EMNLP, pp. 118–127 (2015)
Yuan, Z., Briscoe, T.: Grammatical error correction using neural machine translation. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 380–386. Association for Computational Linguistics (2016)
Zhang, J., Zhou, Y., Zong, C.: Abstractive cross-language summarization via translation model enhanced predicate argument structure fusing. IEEE/ACM Trans. Audio Speech Lang. Process. 24(10), 1842–1853 (2016)
Acknowledgement
This work was granted by the European Project CHISTERA-AMIS ANR-15-CHR2-0001.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-98678-4_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-98677-7
Online ISBN: 978-3-319-98678-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)