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  • 1.
    Samuelsson, Yvonne
    et al.
    Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics.
    Volk, Martin
    Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics.
    Alignment Tools for Parallel Treebanks2007In: Data Structures for Linguistic Resources and Applications: Proceedings of the Biennial GLDV Conference 2007, 2007Conference paper (Refereed)
    Abstract [en]

    This paper reports about our efforts in creating a tri-lingual parallel treebank. The focal points are consistency checking and all aspects of sub-sentential alignment. We discuss the alignment guidelines, the importance of quality checks, and special alignment problems. Then we look at alignment algorithms and alignment visualization tools and we compare our own TreeAligner with other alignment tools. Our constituent structure treebanks contain just over 1,000 sentences and around 18,000 tokens in each language.

  • 2.
    Samuelsson, Yvonne
    et al.
    Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics.
    Volk, Martin
    Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics.
    Automatic Phrase Alignment: Using Statistical N-Gram Alignment for Syntactic Phrase Alignment2007In: Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories (TLT 2007) / [ed] Koenraad De Smedt, Jan Hajič and Sandra Kübler, Northern European Association for Language Technology (NEALT) , 2007, p. 139-150Conference paper (Refereed)
    Abstract [en]

    A parallel treebank consists of syntactically annotated sentences in two or more languages, taken from translated documents. These parallel sentences are linked through alignment. This paper explores the use of word n-gram alignment, computed for statistical machine translation, to create syntactic phrase alignment. We achieve a weighted F0.5-score of over 65%.

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