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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 6...149 Hits 21 – 40 of 2.974 21 Word Frequency Analysis of Community Reaction to Religious Violence on Social Media Bryan, Emily; Seigel, Carly; Senbel, Samah In: School of Computer Science & Engineering Faculty Publications (2022) BASE Show details 22 (Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment Galgoczy, Michael C.; Phatak, Atharva; Vinson, Danielle... In: PeerJ Comput Sci (2022) BASE Show details 23 A systematic literature review on spam content detection and classification Kaddoura, Sanaa; Chandrasekaran, Ganesh; Elena Popescu, Daniela... In: PeerJ Comput Sci (2022) BASE Show details 24 People’s expectations and experiences of big data collection in the Saudi context Binsawad, Muhammad; Abbasi, Ghazanfar Ali; Sohaib, Osama In: PeerJ Comput Sci (2022) BASE Show details 25 Developing and evaluating cybersecurity competencies for students in computing programs Alammari, Abdullah; Sohaib, Osama; Younes, Sayed In: PeerJ Comput Sci (2022) BASE Show details 26 Horse or pony? Visual Typicality and Lexical Frequency Affect Variability in Object Naming Gualdoni, Eleonora; Brochhagen, Thomas; Mädebach, Andreas... In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 27 Masked language models directly encode linguistic uncertainty Hubbard, Ryan J.; Jacobs, Cassandra; Federmeier, Kara D. In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 28 Learning Stress Patterns with a Sequence-to-Sequence Neural Network Prickett, Brandon; Pater, Joe In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 29 Modeling human-like morphological prediction Rosen, Eric R In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 30 The interaction between cognitive ease and informativeness shapes the lexicons of natural languages Brochhagen, Thomas; Boleda, Gemma In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 31 What is so Plautine about Plautine Language? Computers and the Style of Early Latin Drama Barrios-Lech, Peter G In: Peter Barrios-Lech (2022) BASE Show details 32 How Well Do LSTM Language Models Learn Filler-gap Dependencies? Ozaki, Satoru; Yurovsky, Dan; Levin, Lori In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 33 A split-gesture, competitive, coupled oscillator model of syllable structure predicts the emergence of edge gemination and degemination Burroni, Francesco In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 34 Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech Ranjan, Sidharth; Rajkumar, Rajakrishnan; Agarwal, Sumeet In: Proceedings of the Society for Computation in Linguistics (2022) Abstract: Our study investigates the impact of linguistic complexity and planning on word durations in Hindi read aloud speech. Reading aloud involves both comprehension and production processes, and we use measures defined by two influential theories of sentence comprehension, Surprisal Theory and Dependency Locality Theory, to model the time taken to enunciate individual words. We model planning processes using an information-theoretic measure we call FORWARD SURPRISAL, inspired by surprisal theory which has been prominent in recent psycholinguistic work. Forward surprisal aims to capture articulatory planning when readers incorporate parafoveal viewing during reading aloud. Using a Linear Mixed Model containing memory and surprisal costs as predictors of word duration in read aloud speech (parts-of-speech and speakers being intercept terms), we investigate the following hypotheses: 1. High values of linguistic complexity measures (lexical+PCFG surprisal and DLT memory costs) lead to high word durations. 2. High values of forward lexical surprisal tend to induce high word durations. 3. High-frequency words are read aloud faster than low-frequency words. We validate the above hypotheses using data from the TDIL corpus of read aloud speech. Further, using a Generalized Linear Model to predict content and function word labels we show that lexical surprisal measures do not help distinguish between these 2 classes. Thus reading aloud might not involve distinct access strategies for content and function words, unlike spontaneous speech. Keyword: Applied Linguistics; Cognition and Perception; Cognitive Psychology; Cognitive Science; Comprehension; Computational Linguistics; Hindi; Language Production; Linguistic Complexity; Locality; Parafoveal Processing; Phonetics and Phonology; Planning; Psycholinguistics and Neurolinguistics; Reading; Reading Aloud; Surprisal; Typological Linguistics and Linguistic Diversity URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1260&context=scil https://scholarworks.umass.edu/scil/vol5/iss1/11 BASE Hide details 35 Learning Argument Structures with Recurrent Neural Network Grammars Yoshida, Ryo; Oseki, Yohei In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 36 MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates O'Hara, Charlie In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 37 Evaluating Structural Economy Claims in Relative Clause Attachment Lee, So Young; De Santo, Aniello In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 38 A Model Theoretic Perspective on Phonological Feature Systems Nelson, Scott In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 39 Representing Multiple Dependencies in Prosodic Structures Yu, Kristine M. In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 40 Incremental Acquisition of a Minimalist Grammar using an SMT-Solver Indurkhya, Sagar In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details Page: 1 2 3 4 5 6...149

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