Automatic morphological annotation in a text-to-speech system for Hebrew(Conference Paper)
- aUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
- bSerbian Academy of Sciences and Arts, Mathematical Institute, Belgrade, Serbia
- cBrest National Engineering School, European Center for Virtual Reality, Brest, France
Abstract
The paper presents the module for automatic morphological annotation within a text synthesizer for Hebrew, based on an efficient combination of two approaches. The first approach includes the selection of lexemes from appropriate lexica, while the other approach involves automatic morphological analysis of text input using a complex expert algorithm relying on a set of transformational rules and using 6 types of scoring procedures. The module operates on a set of 30 part-of-speech tags with more than 3000 corresponding morphological categories. The paper discusses the advantages of the proposed method in the context of an extremely morphologically complex language such as Hebrew, with particular emphasis given to the relative importance of individual scoring procedures. When all 6 scoring procedures are applied, the accuracy of 99.6% is achieved on a corpus of 3093 sentences (55046 words). © 2013 Springer International Publishing.
Indexed keywords
| Engineering uncontrolled terms | HebrewMorphological analysisPart of speech taggingPart-of-speech tagsText inputText-to-speech system |
|---|---|
| Engineering controlled terms: | Artificial intelligenceComputer science |
| Engineering main heading: | Speech synthesis |
- ISSN: 03029743
- ISBN: 978-331901930-7
- Source Type: Book Series
- Original language: English
- DOI: 10.1007/978-3-319-01931-4_11
- Document Type: Conference Paper
- Sponsors: International Speech Communication Association (ISCA),Czech Society for Cybernetics and Informatics (CSKI)
University of Novi Sad, Faculty of Technical Sciences, Serbia
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