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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 Hits 1 – 20 of 26 1 Semi-Supervised and Unsupervised Sense Annotation via Translations ... Hauer, Bradley; Kondrak, Grzegorz; Luan, Yixing. - : arXiv, 2021 BASE Show details 2 WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks ... Hauer, Bradley; Kondrak, Grzegorz. - : arXiv, 2021 BASE Show details 3 One Sense Per Translation ... Hauer, Bradley; Kondrak, Grzegorz. - : arXiv, 2021 BASE Show details 4 Synonymy = Translational Equivalence ... Hauer, Bradley; Kondrak, Grzegorz. - : arXiv, 2020 BASE Show details 5 Using Translations to Distinguish Between Homonymy and Polysemy Habibi, Amir Ahmad. - : University of Alberta. Department of Computing Science., 2020 BASE Show details 6 Leveraging Translations for Word Sense Disambiguation Luan, Yixing. - : University of Alberta. Department of Computing Science., 2020 BASE Show details 7 Assessing the importance of several acoustic properties to the perception of spontaneous speech Podlubny, Ryan G.; Nearey, Terrance M.; Kondrak, Grzegorz. - 2018 BASE Show details 8 Relation Extraction and its Application to Question Answering Xu, Ying. - : University of Alberta. Department of Computing Science., 2017 BASE Show details 9 Identifying Cognate Sets Across Dictionaries of Related Languages St Arnaud, Adam, J.J.. - : University of Alberta. Department of Computing Science., 2017 BASE Show details 10 Modelling phonetic reduction in a corpus of spoken English using Random Forests and Mixed-Effects Regression Dilts, Philip C. - : University of Alberta. Department of Linguistics., 2013 Abstract: Degree: Doctor of Philosophy ; Abstract: In this thesis, phonetic reduction in the Buckeye Corpus (Pitt et al. 2005) of conversational speech is modelled using advanced statistical techniques. Two measures of phonetic reduction are modelled, reduction in the duration of words and deletion of segments from words. Statistical modelling techniques are used to predict how much of each type of reduction is observed in the corpus. Predictor variables are selected from a number of broad classes, including demographic, phonetic, predictability, syntactic, semantic, and pragmatic variables. The broad scope of these variables leads to a generalizable picture of the factors leading to reduction in spontaneous speech. Two modelling techniques with complementary properties are applied to the modelling task: Random Forest (RF) models (Breiman 2001), and Linear Mixed-Effect Regression (LMER) Models. RF models can be used to model complex interactions and highly co-linear predictor variables much more easily than LMER models can. Conversely, LMER models allow each word form and speaker to differ in their response to reduction-predicting variables. LMER models can also easily incorporate predictor variables composed of a large number of unordered categories. Both of these properties of LMER models are effectively impossible to incorporate into current RF models on the scale required for the present study. Results relating to the variables or combinations of variables that correlate with reduction or improve model prediction are described. Possible explanations for the results and implications for the nature of the processes underlying reduction during spontaneous speech are explored. Results relating to the modelling process are also discussed. In particular, random forest modelling indicated that several potential interactions between variables were overlooked in initial LMER modelling. When these interactions were included in a second round of LMER modelling, several were found to improve prediction significantly. The results of the present study may lead to improvements in speech recognition and speech production technologies. The results also suggest that random forests can be used to improve regression models of language data. Keyword: Linguistics; Mixed-Effects Regression; Phonetic Reduction; Phonetics; Random Forests URL: https://era.library.ualberta.ca/files/5425k999s http://hdl.handle.net/10402/era.34065 BASE Hide details 11 Modelling phonetic reduction in a corpus of spoken English using Random Forests and Mixed-Effects Regression Dilts, Philip C. - : University of Alberta. Department of Linguistics., 2013 BASE Show details 12 Indexing and Querying Natural Language Text Chubak, Pirooz. - : University of Alberta. Department of Computing Science., 2012 BASE Show details 13 Indexing and Querying Natural Language Text Chubak, Pirooz. - : University of Alberta. Department of Computing Science., 2012 BASE Show details 14 Totozoquean Kondrak, Grzegorz; Watters, James K.; Wichmann, Søren... In: International journal of American linguistics. - Chicago : Univ. of Chicago Press 77 (2011) 3, 323-372 BLLDB OLC Linguistik Show details 15 3 Totozoquean Brown, Cecil H; Beck, David; Kondrak, Grzegorz... In: International journal of American linguistics. - Chicago : Univ. of Chicago Press 77 (2011) 4, 323-372 OLC Linguistik Show details 16 Totozoquean Beck, David; Brown, Cecil H.; Kondrak, Grzegorz. - : The University of Chicago Press, 2011 BASE Show details 17 The Application of Chordal Graphs to Inferring Phylogenetic Trees of Languages Enright, Jessica; Kondrak, Grzegorz. - 2011 BASE Show details 18 Leveraging supplementary transcriptions and transliterations via re-ranking Bhargava, Aditya. - : University of Alberta. Department of Computing Science., 2011 BASE Show details 19 Leveraging supplementary transcriptions and transliterations via re-ranking Bhargava, Aditya. - : University of Alberta. Department of Computing Science., 2011 BASE Show details 20 Letter-phoneme alignment: an exploration Jiampojamarn, Sittichai; Kondrak, Grzegorz In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 780-788 BLLDB Show details Page: 1 2

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