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Arbobanko - A Treebank for Esperanto

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Part of the book series:Lecture Notes in Computer Science ((LNCS,volume 13397))

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Abstract

In this paper we describe and evaluate Arbobanko, a syntactic treebank for the artificial language Esperanto, as well as methods and tools used to produce the treebank. For an under-resourced language, the quality of automatic syntactic pre-annotation is of obvious importance, and by evaluating the parser associated with the treebank, we try to answer the question whether the language's extremely regular morphology and low lexical ambiguity carry over into a more regular syntax and higher parsing accuracy. On the linguistic side, the treebank allows us to address and quantify the typological issue of (free) word order in Esperanto.

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Notes

  1. 1.

    Adjects are defined as adverbial modifiers in adjp's and advp's, i.e. of adjectives and adverbs.

  2. 2.

    For Esperanto, we have adopted the "semantic prototype" ontology described athttp://visl.sdu.dk/semantic_prototypes_overview.pdf.

  3. 3.

    Yes/no questions with the question particle "ĉu" were not excluded, but were not statistically salient, because only a few contained finite verbs.

  4. 4.

    Non-finite clauses do not take subjects in Esperanto.

  5. 5.

    These participles carry an adjectival -a ending, and inflect/agree with regard to number and case, allowing them to function as postnominal non-finite clauses, marked @ICL-N < in the treebank, unlike the @ICL-AUX < (argument of auxiliary) we are concerned with here.

References

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Authors and Affiliations

  1. Institute of Language and Communication, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark

    Eckhard Bick

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  1. Eckhard Bick

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Correspondence toEckhard Bick.

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Editors and Affiliations

  1. Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Bick, E. (2023). Arbobanko - A Treebank for Esperanto. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2018. Lecture Notes in Computer Science, vol 13397. Springer, Cham. https://doi.org/10.1007/978-3-031-23804-8_20

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