Abstract
For a task of natural language understanding, the identification of tense, aspect and mood (TAM) features in a given text is of importance in itself. A closer look at the verb groups in a sentence can give the exact combination of the TAM features the verb group carries. While the verb group consisting of one word could be easily interpreted for the TAM features, the TAM features of the verb groups consisting of more than one word (as witnessed in many languages) can be identified exactly through a rule based method. In this paper we present a rule based method to capture the TAM features denoted by verb groups in Hindi.
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Notes
- 1.
The tool can be tested at the following two sites: http://sanskrit.jnu.ac.in/vgt/index.html and http://www.langlex.com/vgt/index.html.
- 2.
The details of the guidelines along with the LDC corpus is available at the LDC website: http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2010T24.
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Choudhary, N., Pandey, P., Jha, G.N. (2014). A Rule Based Method for the Identification of TAM Features in a PoS Tagged Corpus. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_15
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DOI: https://doi.org/10.1007/978-3-319-08958-4_15
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