1 / 8

arTenTen A new, vast corpus for Arabic

arTenTen A new, vast corpus for Arabic. Yonatan Belinkov , Nizar Habash , AdamKilgarriff , Noam Ordan , Ryan Roth, Vit Suchomel MIT/Columbia/Lexical Computing Ltd./ Univ Saarlandes/Masaryk Univ Cz. We all want corpora to be. Bigger Better More text types Richer metadata Cleaner

gzifa
Download Presentation

arTenTen A new, vast corpus for Arabic

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. arTenTenA new, vast corpus for Arabic YonatanBelinkov, NizarHabash, AdamKilgarriff, NoamOrdan, Ryan Roth, VitSuchomel MIT/Columbia/Lexical Computing Ltd./ UnivSaarlandes/MasarykUnivCz

  2. We all want corpora to be • Bigger • Better • More text types • Richer metadata • Cleaner • Better linguistic processing

  3. Arabic • Since 2003: Arabic Gigaword • Good on most fronts except variety • Newswire only • Leeds • 2005 Arabic web corpus (oldish) • Others • Mostly • small • or not available • or newswire

  4. arTenTen • TenTen family • See paper in main conference • Web crawled • Spiderling • Pomikalek and Suchomel, WAC 2012 • Cleaning and deduplication • justText, Onion (Pomikalek)

  5. Size • 5.8 b space-separated tokens Fully processed: • 200M words • Tokenise, lemmatise, POS-tag by MADA, Columbia U • Sketch grammar: new work (Belinkov) Varieties/dialects • We don’t know yet

  6. Availability • In Sketch Engine • demo

  7. Encoding • ‘Vertical’ format • Sketch Engine input format • One word per line, tab-separated columns • Twenty-nine • Structural markup: XML

  8. For each word word (as written, in Arabic) transdiac lemmalemma_arnon_voc_lemmanon_voc_lemma_ar stem tagbw pref3 pref3tag pref2 pref2tagpref1  pref1tag pref0 pref0tag person aspectvox modus gender number state case encliticgloss source

More Related