By Fred Karlsson (auth.), Tapio Salakoski, Filip Ginter, Sampo Pyysalo, Tapio Pahikkala (eds.)
This publication constitutes the refereed court cases of the fifth foreign convention on usual Language Processing, FinTAL 2006, held in Turku, Finland in August 2006.
The seventy two revised complete papers provided including 1 invited speak and the prolonged abstracts of two invited keynote addresses have been conscientiously reviewed and chosen from a hundred and fifty submissions. The papers tackle all present concerns in computational linguistics and monolingual and multilingual clever language processing - thought, equipment and applications.
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Additional info for Advances in Natural Language Processing: 5th International Conference on NLP, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings
Example text
So, we expect that this kind of methods is applicable for fiction texts. The corpus is freely available for research purposes. In future, we plan to implement better algorithm of alignment instead of the described heuristic-based algorithm. For example, we plan to use genetic algorithm with global optimization and dynamic programming. Another direction of improvement of the method is usage of other types of the dictionaries with synonymic and homonymic relations, like WordNet. Also, the method can beneficiate from weighting of the distance between a word and its A Bilingual Corpus of Novels Aligned at Paragraph Level 23 possible translation, especially in case of the large paragraphs, because some words can occur in a paragraph as a translation of the other word, and not the one that we are searching.
Often, the texts are in the PDF format and during their conversion into the plain text format the information about the ends of paragraphs is lost. Thus, rather extended preprocessing, sometimes inevitably manual, is necessary. The importance of the aligned parallel corpora is related with the fact that there are structural differences between languages. These differences can be exploited for automatic extraction of various linguistic phenomena. The other obvious application of these corpora is machine translation [1], especially, machine translation based on examples.
L. 1991. Aligning Sentences in Parallel Corpora. In: Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics, Berkeley, California, pp 169 – 176. [2] Chen, S. 1993. Aligning sentences in bilingual corpora using lexical information. In: Proceeding of ACL-93, pp. 9-16. [3] Kit, Chunyu, Jonathan J. Webster, King Kui Sin, Haihua Pan, Heng Li. 2004. Clause alignment for Hong Kong legal texts: A lexical-based approach. International Journal of Corpus Linguistics 9:1. pp.