Abstract
In this paper the first preliminary results of the analysis of marks collected within the tables of META-NET series of Language White Papers of CESAR project languages are demonstrated. Although they are preliminary results, we can consider them useful for showing us where real gaps in language resources and tools can be detected.
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Notes
- 1.
In the final version of all META-NET Language White Papers, the overall methodology of collecting and merging marks was changed. It was decided that the peer-evaluation of the original fine-grained categories would not be practical and feasible to carry out at the META-NET community level. Therefore the categories were merged and the further process of evaluation and the final decisions at the META-NET meeting in Berlin in 2011 were based on the summary categories.
- 2.
Each LRT category was originally marked (on a scale of 0 to 6) for quantity, availability, quality, coverage, maturity, sustainability and adaptability. See the respective tables in Sect. 4.6 of the individual LWP volumes.
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Tadić, M., Váradi, T., Garabík, R., Koeva, S., Ogrodniczuk, M., Vitas, D. (2014). Detecting Gaps in Language Resources and Tools in the Project CESAR. 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_38
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