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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 Hits 1 – 20 of 79 1 Parallel processing in speech perception with local and global representations of linguistic context Brodbeck, Christian; Bhattasali, Shohini; Cruz Heredia, Aura AL... In: eLife (2022) BASE Show details 2 Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension ... 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; Bhattasali, Shohini; Resnik, Philip. - : Underline Science Inc., 2021 BASE Show details 3 Community-level Research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task MacAvaney, Sean; Mittu, Anjali; Coppersmith, Glen. - 2021 BASE Show details 4 Connecting Documents, Words, and Languages Using Topic Models Yang, Weiwei. - 2019 BASE Show details 5 Assessing Composition in Sentence Vector Representations ... Ettinger, Allyson; Elgohary, Ahmed; Phillips, Colin. - : arXiv, 2018 BASE Show details 6 Relating lexical and syntactic processes in language: Bridging research in humans and machines Ettinger, Allyson. - 2018 BASE Show details 7 Guided Probabilistic Topic Models for Agenda-setting and Framing Nguyen, Viet An. - 2015 BASE Show details 8 Soft syntactic constraints for Arabic-English hierarchical phrase-based translation Resnik, Philip; Chiang, David; Marton, Yuval In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 1-2, 137-157 BLLDB OLC Linguistik Show details 9 Crowdsourced Monolingual Translation Hu, Chang. - 2012 BASE Show details 10 Decision Tree-based Syntactic Language Modeling Filimonov, Denis. - 2011 BASE Show details 11 Modeling Dependencies in Natural Languages with Latent Variables Huang, Zhongqiang. - 2011 BASE Show details 12 Exploiting syntactic relationships in a phrase-based decoder: an exploration Hunter, Tim; Resnik, Philip In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 24 (2010) 2, 123-140 BLLDB OLC Linguistik Show details 13 Gibbs Sampling for the Uninitiated Resnik, Philip; Hardisty, Eric In: DTIC (2010) BASE Show details 14 Structured local exponential models for machine translation Subotin, Michael. - 2010 BASE Show details 15 A Formal Model of Ambiguity and its Applications in Machine Translation Dyer, Christopher. - 2010 Abstract: Systems that process natural language must cope with and resolve ambiguity. In this dissertation, a model of language processing is advocated in which multiple inputs and multiple analyses of inputs are considered concurrently and a single analysis is only a last resort. Compared to conventional models, this approach can be understood as replacing single-element inputs and outputs with weighted sets of inputs and outputs. Although processing components must deal with sets (rather than individual elements), constraints are imposed on the elements of these sets, and the representations from existing models may be reused. However, to deal efficiently with large (or infinite) sets, compact representations of sets that share structure between elements, such as weighted finite-state transducers and synchronous context-free grammars, are necessary. These representations and algorithms for manipulating them are discussed in depth in depth. To establish the effectiveness and tractability of the proposed processing model, it is applied to several problems in machine translation. Starting with spoken language translation, it is shown that translating a set of transcription hypotheses yields better translations compared to a baseline in which a single (1-best) transcription hypothesis is selected and then translated, independent of the translation model formalism used. More subtle forms of ambiguity that arise even in text-only translation (such as decisions conventionally made during system development about how to preprocess text) are then discussed, and it is shown that the ambiguity-preserving paradigm can be employed in these cases as well, again leading to improved translation quality. A model for supervised learning that learns from training data where sets (rather than single elements) of correct labels are provided for each training instance and use it to learn a model of compound word segmentation is also introduced, which is used as a preprocessing step in machine translation. Keyword: Computer Science; Language; Linguistics URL: http://hdl.handle.net/1903/11217 BASE Hide details 16 Extending Phrase-Based Decoding with a Dependency-Based Reordering Model Hunter, Tim; Resnik, Philip In: DTIC (2009) BASE Show details 17 Extending Phrase-Based Decoding with a Dependency-Based Reordering Model Resnik, Philip; Hunter, Tim. - 2009 BASE Show details 18 COMPUTATIONAL ANALYSIS OF THE CONVERSATIONAL DYNAMICS OF THE UNITED STATES SUPREME COURT Hawes, Timothy. - 2009 BASE Show details 19 Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models Marton, Yuval Yehezkel. - 2009 BASE Show details 20 Generalizing Word Lattice Translation Dyer, Christopher; Muresan, Smaranda; Resnik, Philip In: DTIC (2008) BASE Show details Page: 1 2 3 4

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