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Hits 61 – 80 of 2.974

61
Studying Social Identities in Linguistic Style ...
Cork, Alicia. - : Open Science Framework, 2021
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62
Predicting emotional links between genre, plot, and reader response ...
Sharma, Srishti. - : Open Science Framework, 2021
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63
Measuring Equity Mindsets and Improvisational Practices Through Language Patterns in Equity Simulations ...
Littenberg-Tobias, Joshua. - : Open Science Framework, 2021
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64
Normalized Datasets of Harnack’s Reconstruction of Marcion’s Gospel
In: Journal of Open Humanities Data; Vol 7 (2021); 24 ; 2059-481X (2021)
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65
Normalized Datasets of Klinghardt’s and Nicolotti’s Reconstructions of Marcion’s Gospel
In: Journal of Open Humanities Data; Vol 7 (2021); 32 ; 2059-481X (2021)
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66
Automatic Language Identification in Code-Switched Hindi-English Social Media Text
In: Journal of Open Humanities Data; Vol 7 (2021); 7 ; 2059-481X (2021)
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67
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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68
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation ...
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69
10D: Phonology, Morphology and Word Segmentation #1 ...
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70
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ...
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71
19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 2 ...
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72
18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 1 ...
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73
SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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74
The Match-Extend Serialization Algorithm in Multiprecedence ...
Abstract: Raimy (1999; 2000a; 2000b) proposed a graphical formalism for modeling reduplication, originallymostly focused on phonological overapplication in a derivational framework. This framework is now known as Precedence-based phonology or Multiprecedence phonology. Raimy's idea is that the segments at the input to the phonology are not totally ordered by precedence. This paper tackles a challenge that arose with Raimy's work, the development of a deterministic serialization algorithm as part of the derivation of surface forms. The Match-Extend algorithm introduced here requires fewer assumptions and sticks tighter to the attested typology. The algorithm also contains no parameter or constraint specific to individual graphs or topologies, unlike previous proposals. Match-Extend requires nothing except knowing the last added set of links. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/30079-the-match-extend-serialization-algorithm-in-multiprecedence
https://dx.doi.org/10.48448/rgky-kt38
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75
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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76
Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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77
Correcting Chinese Spelling Errors with Phonetic Pre-training ...
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78
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
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79
SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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80
Data for: Psycholinguistic dataset on language use in 1145 novels published in English and Dutch ...
Van Cranenburgh, Andreas. - : Mendeley, 2021
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