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Description
  • Creating good stemming rules for the Arabic language comes from the importance of Arabic language as the sixth most used language in the word. Stemming is very important in information retrieval, data mining and language processing. With Arabic having complex morphology and grammatical properties, this poses a challenge for researchers in this field. In this paper, we try to use an online morphological parser to distinguish parts of speech (POS), and then set some extracting rules to produce stems, and finally, mismatch these stems with an electronic dictionary. As a pilot study for this method, in this paper we deal with three POS: nouns, verbs and adjectives.
  • Creating good stemming rules for the Arabic language comes from the importance of Arabic language as the sixth most used language in the word. Stemming is very important in information retrieval, data mining and language processing. With Arabic having complex morphology and grammatical properties, this poses a challenge for researchers in this field. In this paper, we try to use an online morphological parser to distinguish parts of speech (POS), and then set some extracting rules to produce stems, and finally, mismatch these stems with an electronic dictionary. As a pilot study for this method, in this paper we deal with three POS: nouns, verbs and adjectives. (en)
Title
  • A linguistic method into stemming of Arabic for data compression
  • A linguistic method into stemming of Arabic for data compression (en)
skos:prefLabel
  • A linguistic method into stemming of Arabic for data compression
  • A linguistic method into stemming of Arabic for data compression (en)
skos:notation
  • RIV/61989100:27240/13:86088862!RIV14-GA0-27240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0070), P(EE.2.3.20.0073), P(GPP202/11/P142), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 58689
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/13:86088862
http://linked.open...riv/jazykVysledku
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  • Stemming of Arabic; Stanford Online Parser; Data compression for Arabic; Arabic natural language processing; Arabic morphology; Arabic data mining (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [080061C14D6C]
http://linked.open...v/mistoKonaniAkce
  • Písek
http://linked.open...i/riv/mistoVydani
  • Aachen
http://linked.open...i/riv/nazevZdroje
  • CEUR Workshop Proceedings. Volume 971
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Platoš, Jan
  • Snášel, Václav
  • Soori, Hussein Khaled Hussein
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1613-0073
number of pages
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  • ceur-ws.org
https://schema.org/isbn
  • 978-80-248-2968-5
http://localhost/t...ganizacniJednotka
  • 27240
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