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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 66 1 A Refutation of Finite-State Language Models through Zipf’s Law for Factual Knowledge Łukasz Dębowski In: Entropy ; Volume 23 ; Issue 9 (2021) BASE Show details 2 STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE Mooney,Raymond. - 2017 BASE Show details 3 Confound and control in language experiments ... Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016 BASE Show details 4 Confound and control in language experiments ... Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016 BASE Show details 5 Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences Crutchfield, James P In: DTIC (2015) BASE Show details 6 A Fast Variational Approach for Learning Markov Random Field Language Models Jernite, Yacine; Rush, Alexander M; Sontag, David In: DTIC (2015) BASE Show details 7 Learning to Understand Natural Language with Less Human Effort Krishnamurthy, Jayant In: DTIC (2015) BASE Show details 8 The role of markup in the digital humanities Schmidt, Desmond In: Historical Social Research ; 37 ; 3 ; 125-146 ; Kontroversen um die Digitalen Geisteswissenschaften / Controversies around the digital humanities (2015) Abstract: "The digital humanities are growing rapidly in response to a rise in Internet use. What humanists mostly work on, and which forms much of the contents of our growing repositories, are digital surrogates of originally analog artefacts. But is the data model upon which many of those surrogates are based - embedded markup - adequate for the task? Or does it in fact inhibit reusability and flexibility? To enhance interoperability of resources and tools, some changes to the standard markup model are needed. Markup could be removed from the text and stored in standoff form. The versions of which many cultural heritage texts are composed could also be represented externally, and computed automatically. These changes would not disrupt existing data representations, which could be imported without significant data loss. They would also enhance automation and ease the increasing burden on the modern digital humanist." (author's abstract) Keyword: anthropology; automation; Automatisierung; Computer Methods; cultural heritage; data; Daten; Digitalisierung; digitalization; Erhebungstechniken und Analysetechniken der Sozialwissenschaften; Forschungsarten der Sozialforschung; Geisteswissenschaft; Geschichte; Historical Social Research; historische Sozialforschung; History; humanities; Information Economics; Information Management; Information Processes; informationelle Prozesse; Informationsmanagement; Informationsökonomie; Internet; journalism; Journalismus,Verlagswesen; Kulturerbe; linguistics; Linguistik; Methods and Techniques of Data Collection and Data Analysis; News media; publishing; Publizistische Medien; Research Design; semantics; Semantik; Social History; Social sciences; sociology; Software; Sozialgeschichte; Sozialwissenschaften; Soziologie; Standardisierung; standardization (meth.); Statistical Methods; text analysis; Textanalyse URL: http://www.ssoar.info/ssoar/handle/document/37836 https://doi.org/10.12759/hsr.37.2012.3.125-146 http://nbn-resolving.org/urn:nbn:de:0168-ssoar-378369 BASE Hide details 9 Mandarin listeners can learn non-native lexical tones through distributional learning Ong, Jia (S31400); Burnham, Denis K. (R7357); Escudero, Paola (R16636). - : U.K., University of Glasgow, 2015 BASE Show details 10 A nonparametric Bayesian perspective for machine learning in partially-observed settings ... Akova, Ferit. - : IUPUI University Library, 2014 BASE Show details 11 A nonparametric Bayesian perspective for machine learning in partially-observed settings Akova, Ferit. - 2014 BASE Show details 12 The Negations of Conjunctions, Conditionals, and Disjunctions Khemlani, Sangeet; Orenes, Isabel; Johnson-Laird, P N In: DTIC (2014) BASE Show details 13 What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It? Morgan, Nelson; Wegmann, Steven; Cohen, Jordan In: DTIC (2013) BASE Show details 14 Identität in Erzählung und im Erzählen: Versuch einer Bestimmung der Besonderheit des narrativen Diskurses für die sprachliche Verfassung von ldentität Bamberg, Michael In: Journal für Psychologie ; 7 ; 1 ; 43-55 (2012) BASE Show details 15 Coherent Demodulation of Nonstationary Random Processes Clark, Charles Pascal. - 2012 BASE Show details 16 Incremental Syntactic Language Models for Phrase-Based Translation Schwartz, Lane; Callison-Burch, Chris; Schuler, William... In: DTIC (2011) BASE Show details 17 Using Linguistic Knowledge in Statistical Machine Translation Zbib, Rabih M. In: DTIC (2010) BASE Show details 18 Related Entity Finding: University of Waterloo at TREC 2010 Entity Track Vechtomova, Olga In: DTIC (2010) BASE Show details 19 Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques Ge, Ruifang In: DTIC (2010) BASE Show details 20 Gibbs Sampling for the Uninitiated Resnik, Philip; Hardisty, Eric In: DTIC (2010) BASE Show details Page: 1 2 3 4

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