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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 Page: 1 2 3 4 5...137 Hits 1 – 20 of 2.739 1 Sentence comprehension as a cognitive process : a computational approach Vasishth, Shravan [Verfasser]; Engelmann, Felix [Verfasser]. - Cambridge : Cambridge University Press, 2021 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 2 The corpora they are a-changing: a case study in Italian newspapers Basile, Pierpaolo; Caputo, Annalina; Caselli, Tommaso... In: Basile, Pierpaolo orcid:0000-0002-0545-1105 , Caputo, Annalina orcid:0000-0002-7144-8545 , Caselli, Tommaso orcid:0000-0003-2936-0256 , Cassotti, Pierluigi and Varvara, Rossella orcid:0000-0001-9957-2807 (2021) The corpora they are a-changing: a case study in Italian newspapers. In: 2nd International Workshop on Computational Approaches to Historical Language Change 2021, Online. (2021) BASE Show details 3 DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues Castilho, Sheila; Cavalheiro Camargo, João Lucas; Menezes, Miguel... In: Castilho, Sheila orcid:0000-0002-8416-6555 , Cavalheiro Camargo, João Lucas orcid:0000-0003-3746-1225 , Menezes, Miguel and Way, Andy orcid:0000-0001-5736-5930 (2021) DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues. In: Sixth Conference on Machine Translation (WMT21), 10-11 Nov 2021, Punta Cana, Dominican Republic (Online). ISBN 978-1-954085-94-7 (2021) BASE Show details 4 English machine reading comprehension: new approaches to answering multiple-choice questions Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021 In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021) BASE Show details 5 Chinese character decomposition for neural MT with multi-word expressions Han, Lifeng; Jones, Gareth J.F.; Smeaton, Alan F.... In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Bolzoni, Paolo (2021) Chinese character decomposition for neural MT with multi-word expressions. In: 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), 31 May- 2 June 2021, Reykjavik, Iceland (Online). (In Press) (2021) BASE Show details 6 cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations Han, Lifeng; Erofeev, Gleb; Gladkoff, Serge... In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021) BASE Show details 7 Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement Han, Lifeng; Alekseeva, Alexandra; Sorokina, Irina... In: Alekseeva, Alexandra orcid:0000-0002-7990-4592 , Gladkoff, Serge, Sorokina, Irina and Han, Lifeng orcid:0000-0002-3221-2185 (2021) Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement. In: Metrics 2021: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021) BASE Show details 8 Meta-evaluation of machine translation evaluation methods Han, Lifeng In: Han, Lifeng orcid:0000-0002-3221-2185 (2021) Meta-evaluation of machine translation evaluation methods. In: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021) BASE Show details 9 Proactive information retrieval Sen, Procheta. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021 In: Sen, Procheta (2021) Proactive information retrieval. PhD thesis, Dublin City University. (2021) BASE Show details 10 Is there a bilingual disadvantage for word segmentation? A computational modeling approach Fibla, Laia; Sebastian-Galles, Nuria; Cristia, Alejandrina In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498905 ; Journal of Child Language, Cambridge University Press (CUP), 2021, pp.1-28. ⟨10.1017/S0305000921000568⟩ (2021) BASE Show details 11 SCALa: A blueprint for computational models of language acquisition in social context Tsuji, Sho; Cristia, Alejandrina; Dupoux, Emmanuel In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021) BASE Show details 12 Buzz or Change: How the Social Network Structure Conditions the Fate of Lexical Innovations on Twitter Tarrade, Louise; Chevrot, Jean-Pierre; Magué, Jean-Philippe In: 8th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2021) ; https://hal.archives-ouvertes.fr/hal-03426028 ; 8th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2021), Oct 2021, Nijmegen, Radboud University, Netherlands (2021) BASE Show details 13 Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics: Dagstuhl Seminar 21351 Baldwin, Timothy; Croft, William; Nivre,, Joakim. - : HAL CCSD, 2021 In: Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03507948 ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics, Aug 2021, pp.89--138, 2021, 2192-5283. ⟨10.4230/DagRep.11.7.89⟩ ; https://gitlab.com/unlid/dagstuhl-seminar/-/wikis/home (2021) BASE Show details 14 Do Infants Really Learn Phonetic Categories? Feldman, Naomi; Goldwater, Sharon; Dupoux, Emmanuel... In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03550830 ; Open Mind, MIT Press, 2021, 5, pp.113-131. ⟨10.1162/opmi_a_00046⟩ (2021) BASE Show details 15 Type-logical investigations: proof-theoretic, computational and linguistic aspects of modern type-logical grammars Moot, Richard. - : HAL CCSD, 2021 In: https://hal-lirmm.ccsd.cnrs.fr/tel-03452731 ; Computation and Language [cs.CL]. Université Montpellier, 2021 (2021) BASE Show details 16 Weak supervision for learning discourse structure in multi-party dialogues ; Supervision distante pour l'apprentissage de structures discursives dans les conversations multi-locuteurs Badene, Sonia. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03622653 ; Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. English. ⟨NNT : 2021TOU30138⟩ (2021) BASE Show details 17 Functional pressures and linguistic typology Meinhardt, Eric. - : eScholarship, University of California, 2021 BASE Show details 18 Arc-Eager Construction Provides Learning Advantage Beyond Stack Management Barnett, Phillip A. - : eScholarship, University of California, 2021 BASE Show details 19 Neuro-computational models of language processing Hale, John,; Campanelli, Luca; Li, Jixing; Bhattasali, Shohini; Pallier, Christophe; Brennan, Jonathan In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03334485 ; Annual Review of Linguistics, Annual Reviews, In press, ⟨10.1146/lingbuzz/006147⟩ (2021) Abstract: International audience ; Efforts to understand the brain bases of language face the mapping problem: at what level do linguistic computations and representations connect to human neurobiology? We review one approach to this problem that relies on rigorously defined computational models to specify the links between linguistic features and neural signals. Such tools can be used to estimate linguistic predictions, model linguistic features, or specify a sequence of processing steps that may be quantitatively fit to neural signals collected while participants use language. Progress has been helped by advances in machine learning, attention to linguistically interpretable models, and openly shared datasets that allow researchers to compare and contrast a variety of models. We describe one such dataset in detail in the supplementary materials. Keyword: [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SCCO.NEUR]Cognitive science/Neuroscience; brain; computational model; deep learning; lexicon; neurolinguistics; parsing URL: https://hal.archives-ouvertes.fr/hal-03334485 https://hal.archives-ouvertes.fr/hal-03334485/document https://hal.archives-ouvertes.fr/hal-03334485/file/haleEtAl_21_Neuro-computa.2.pdf https://doi.org/10.1146/lingbuzz/006147 BASE Hide details 20 Handling Heavily Abbreviated Manuscripts: HTR engines vs text normalisation approaches Camps, Jean-Baptiste; Vidal-Gorène, Chahan; Vernet, Marguerite In: International Conference on Document Analysis and Recognition 2021 ; https://hal-enc.archives-ouvertes.fr/hal-03279602 ; International Conference on Document Analysis and Recognition 2021, 2021, Lausanne, Switzerland. pp.306-316, ⟨10.1007/978-3-030-86159-9_21⟩ (2021) BASE Show details Page: 1 2 3 4 5...137

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