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    <abstract>Punctuation prediction is an important task in spoken language translation and can be performed by using a monolingual phrase-based translation system to translate from unpunctuated to text with punctuation. However, a punctuation prediction system based on phrase-based translation is not able to capture long-range dependencies between words and punctuation marks. In this paper, we propose to employ hierarchical translation in place of phrase-based translation and show that this approach is more robust for unseen word sequences. Furthermore, we analyze different optimization criteria for tuning the scaling factors of a monolingual statistical machine translation system. In our experiments, we compare the new approach with other punctuation prediction methods and show improvements in terms of F1-Score and BLEU on the IWSLT 2014 German→English and English→French translation tasks.</abstract>
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%0 Conference Proceedings
%T Better punctuation prediction with hierarchical phrase-based translation
%A Peitz, Stephan
%A Freitag, Markus
%A Ney, Hermann
%Y Federico, Marcello
%Y Stüker, Sebastian
%Y Yvon, François
%S Proceedings of the 11th International Workshop on Spoken Language Translation: Papers
%D 2014
%8 dec 4 5
%C Lake Tahoe, California
%F peitz-etal-2014-better
%X Punctuation prediction is an important task in spoken language translation and can be performed by using a monolingual phrase-based translation system to translate from unpunctuated to text with punctuation. However, a punctuation prediction system based on phrase-based translation is not able to capture long-range dependencies between words and punctuation marks. In this paper, we propose to employ hierarchical translation in place of phrase-based translation and show that this approach is more robust for unseen word sequences. Furthermore, we analyze different optimization criteria for tuning the scaling factors of a monolingual statistical machine translation system. In our experiments, we compare the new approach with other punctuation prediction methods and show improvements in terms of F1-Score and BLEU on the IWSLT 2014 German→English and English→French translation tasks.
%U https://aclanthology.org/2014.iwslt-papers.17
%P 271-278

Markdown (Informal)

[Better punctuation prediction with hierarchical phrase-based translation](https://aclanthology.org/2014.iwslt-papers.17) (Peitz et al., IWSLT 2014)

• Better punctuation prediction with hierarchical phrase-based translation (Peitz et al., IWSLT 2014)

ACL

• Stephan Peitz, Markus Freitag, and Hermann Ney. 2014. Better punctuation prediction with hierarchical phrase-based translation. In Proceedings of the 11th International Workshop on Spoken Language Translation: Papers, pages 271–278, Lake Tahoe, California.