Word-based or morpheme-based? Annotation strategies for modern Hebrew clitics

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11 Scopus citations

Abstract

Morphologically rich languages pose a challenge to the annotators of treebanks with respect to the status of orthographic (spacedelimited) words in the syntactic parse trees. In such languages an orthographic word may carry various, distinct, sorts of information and the question arises whether we should represent such words as a sequence of their constituent morphemes (i.e., a Morpheme-Based annotation strategy) or whether we should preserve their special orthographic status within the trees (i.e., a Word-Based annotation strategy). In this paper we empirically address this challenge in the context of the development of Language Resources for Modern Hebrew. We compare and contrast the Morpheme-Based and Word-Based annotation strategies of pronominal clitics in Modern Hebrew and we show that the Word-Based strategy is more adequate for the purpose of training statistical parsers as it provides a better PP-attachment disambiguation capacity and a better alignment with initial surface forms. Our findings in turn raise new questions concerning the interaction of morphological and syntactic processing of which investigation is facilitated by the parallel treebank we made available.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008
PublisherEuropean Language Resources Association (ELRA)
Pages1421-1427
Number of pages7
ISBN (Electronic)2951740840, 9782951740846
StatePublished - 2008
Externally publishedYes
Event6th International Conference on Language Resources and Evaluation, LREC 2008 - Marrakech, Morocco
Duration: 28 May 200830 May 2008

Publication series

NameProceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008

Conference

Conference6th International Conference on Language Resources and Evaluation, LREC 2008
Country/TerritoryMorocco
CityMarrakech
Period28/05/0830/05/08

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