Interlingual annotation of parallel text corpora: A new framework for annotation and evaluation

Bonnie J. Dorr, Rebecca J. Passonneau, David Farwell, Rebecca Green, Nizar Habash, Stephen Helmreich, Eduard Hovy, Lori Levin, Keith J. Miller, Teruko Mitamura, Owen Rambow, Advaith Siddharthan

Research output: Contribution to journalArticlepeer-review

Abstract

This paper focuses on an important step in the creation of a system of meaning representation and the development of semantically annotated parallel corpora, for use in applications such as machine translation, question answering, text summarization, and information retrieval. The work described below constitutes the first effort of any kind to annotate multiple translations of foreign-language texts with interlingual content. Three levels of representation are introduced: deep syntactic dependencies (IL0), intermediate semantic representations (IL1), and a normalized representation that unifies conversives, nonliteral language, and paraphrase (IL2). The resulting annotated, multilingually induced, parallel corpora will be useful as an empirical basis for a wide range of research, including the development and evaluation of interlingual NLP systems and paraphrase-extraction systems as well as a host of other research and development efforts in theoretical and applied linguistics, foreign language pedagogy, translation studies, and other related disciplines.

Original languageEnglish (US)
Pages (from-to)197-243
Number of pages47
JournalNatural Language Engineering
Volume16
Issue number3
DOIs
StatePublished - Jul 2010

ASJC Scopus subject areas

  • Software
  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence

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