Aligning the Un-Alignable — A Pilot Study Using a Noisy Corpus of Nonstandardized, Semi-parallel Texts

Author:

Petran Florian

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Och, F.J., Ney, H.: A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics 29, 19–51 (2003)

2. Fung, P., Church, K.W.: K-vec: a new approach for aligning parallel texts. In: Proceedings of the 15th Conference on Computational Linguistics, vol. 2, pp. 1096–1102. Association for Computational Linguistics (1994)

3. Huang, H., Chen, H.: Pause and Stop Labeling for Chinese Sentence Boundary Detection. In: Proceedings of Recent Advances in Natural Language Processing, pp. 146–153 (2011)

4. Simard, M., Foster, G.F., Isabelle, P.: Using cognates to align sentences in bilingual corpora. In: Proceedings of the 1993 Conference of the Centre for Advanced Studies on Collaborative Research: Distributed Computing, vol. 2, pp. 1071–1082. IBM Press (1993)

5. Gale, W.A., Church, K.W.: A program for aligning sentences in bilingual corpora. Computational Linguistics 19, 75–102 (1993)

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