• Refine your search:
  • 
    Keyword:
    
    • Computation and Language cs.CL (2)
    • Computational Linguistics (2)
    • FOS Computer and information sciences (2)
    • Arabisch (1)
    • Automatische Lemmatisierung (1)
    • Automatische Übersetzung (1)
    • Bewertungskriterium (Übersetzung) (1)
    • Computationelle Morphologie (1)
    • Condensed Matter Physics (1)
    • Deep Learning (1)
    •   more
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2021 (2)
    • 2017 (1)
    • 2015 (1)
    • 2012 (1)
  • 
    Medium:
    
    • Online (4)
    • Print (1)
  • 
    Type:
    
    • Article (5)
  • 
    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 – 5 of 5 1 Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bisazza, Arianna; Bos, Johan; van Noord, Rik; Wang, Chunliu. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.97 Abstract: Neural semantic parsers have obtained acceptable results in the context of parsing DRSs (Discourse Representation Structures). In particular models with character sequences as input showed remarkable performance for English. But how does this approach perform on languages with a different writing system, like Chinese, a language with a large vocabulary of characters? Does rule-based tokenisation of the input help, and which granularity is preferred: characters, or words? The results are promising. Even with DRSs based on English, good results for Chinese are obtained. Tokenisation offers a small advantage for English, but not for Chinese. Overall, characters are preferred as input, both for English and Chinese. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25816-input-representations-for-parsing-discourse-representation-structures-comparing-english-with-chinese https://dx.doi.org/10.48448/fdxa-zj71 BASE Hide details 2 On the Difficulty of Translating Free-Order Case-Marking Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bisazza, Arianna; Sportel, Stephan. - : Underline Science Inc., 2021 BASE Show details 3 Learning Topic-Sensitive Word Representations ... Fadaee, Marzieh; Bisazza, Arianna; Monz, Christof. - : arXiv, 2017 BASE Show details 4 A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena ... Bisazza, Arianna; Federico, Marcello. - : arXiv, 2015 BASE Show details 5 Chunk-lattices for verb reordering in Arabic-English statistical machine translation : special issues on machine translation for Arabic Federico, Marcello; Pighin, Daniele; Bisazza, Arianna In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 1-2, 85-103 BLLDB OLC Linguistik Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 1 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 1 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