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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 – 3 of 3 1 Code mixing: a challenge for language identification in the language of social media Barman, Utsab; Das, Amitava; Wagner, Joachim... In: Barman, Utsab, Das, Amitava orcid:0000-0003-3418-463X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar. (2014) BASE Show details 2 DCU-Paris13 systems for the SANCL 2012 shared task Le Roux, Joseph; Foster, Jennifer; Wagner, Joachim; Samad Zadeh Kaljahi, Rasoul; Bryl, Anton In: Le Roux, Joseph, Foster, Jennifer orcid:0000-0002-7789-4853 , Wagner, Joachim orcid:0000-0002-8290-3849 , Samad Zadeh Kaljahi, Rasoul and Bryl, Anton (2012) DCU-Paris13 systems for the SANCL 2012 shared task. In: The NAACL 2012 First Workshop on Syntactic Analysis of Non-Canonical Language (SANCL), 7-8 Jun 2012, Montreal, Quebec, Canada. (2012) Abstract: The DCU-Paris13 team submitted three systems to the SANCL 2012 shared task on parsing English web text. The first submission, the highest ranked constituency parsing system, uses a combination of PCFG-LA product grammar parsing and self-training. In the second submission, also a constituency parsing system, the n-best lists of various parsing models are combined using an approximate sentence-level product model. The third system, the highest ranked system in the dependency parsing track, uses voting over dependency arcs to combine the output of three constituency parsing systems which have been converted to dependency trees. All systems make use of a data-normalisation component, a parser accuracy predictor and a genre classifier. Keyword: Computational linguistics; natural language processing; parsing; user-generated content URL: http://doras.dcu.ie/17051/ BASE Hide details 3 Detecting grammatical errors with treebank-induced, probabilistic parsers Wagner, Joachim. - : Dublin City University. School of Computing, 2012 In: Wagner, Joachim orcid:0000-0002-8290-3849 (2012) Detecting grammatical errors with treebank-induced, probabilistic parsers. PhD thesis, Dublin City University. (2012) BASE Show details

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