A framework for fast text analysis, which is developed as a part of the Texterra project, is described. Texterra provides a scalable solution for the fast text processing on the basis of novel methods that exploit knowledge extracted from the Web and text documents. For the developed tools, details of the project, use cases, and evaluation results are presented.

References in zbMATH (referenced in 3 articles )

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  1. Ghukasyan, Tsolak; Yeshilbashyan, Yeva; Avetisyan, Karen: Subwords-only alternatives to fastText for morphologically rich languages (2021)
  2. N. Astrakhantsev: ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala (2016) arXiv
  3. Turdakov, D.; Astrakhantsev, N.; Nedumov, Ya.; Sysoev, A.; Andrianov, I.; Mayorov, V.; Fedorenko, D.; Korshunov, A.; Kuznetsov, S.: Texterra: A framework for text analysis (2014) ioport