• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2010 (6)
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Strictly lexicalised dependency parsing Wang, Qin Iris; Schuurmans, Dale; Lin, Dekang In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 105-120 BLLDB Show details 2 Creating robust supervised classifiers via web-scale n-gram data Bergsma, Shane; Pitler, Emily; Lin, Dekang In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 865-874 BLLDB Show details 3 Chinese Web 5-gram Version 1 Liu, Fang; Yang, Meng; Lin, Dekang. - : Linguistic Data Consortium, 2010. : https://www.ldc.upenn.edu, 2010 BASE Show details 4 Chinese Web 5-gram Version 1 ... Liu, Fang; Yang, Meng; Lin, Dekang. - : Linguistic Data Consortium, 2010 Abstract: Introduction Chinese Web 5-gram Version 1, Linguistic Data Consortium (LDC) catalog number LDC2010T06 and isbn 1-58563-539-1, was created by researchers at Google Inc. It consists of Chinese word n-grams and their observed frequency counts generated from over 800 million tokens of text. The length of the n-grams ranges from unigrams (single words) to 5-grams. This data should be useful for statistical language modeling (e.g., segmentation, machine translation) as well as for other uses. Included with this publication is a simple segmenter written in Perl using the same algorithm used to generate the data. Data Collection N-gram counts were generated from approximately 883 billion word tokens of text from publicly accessible web pages. This data set contains only n-grams that appeared at least 40 times in the processed sentences. Less frequent n-grams were discarded. While the aim was to identify and collect only Chinese language pages, some text from other languages ... URL: https://dx.doi.org/10.35111/647p-yt29 https://catalog.ldc.upenn.edu/LDC2010T06 BASE Hide details 5 Large-scale semi-supervised learning for natural language processing Bergsma, Shane A. - : University of Alberta. Department of Computing Science., 2010 BASE Show details 6 Large-scale semi-supervised learning for natural language processing Bergsma, Shane A. - : University of Alberta. Department of Computing Science., 2010 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 2 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 4 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0