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Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping
Author(s):
Chundra Cathcart, Taraka Rama (see profile)
Date:
2020
Subject(s):
Computational linguistics, Historical linguistics
Item Type:
Conference proceeding
Tag(s):
computational historical linguistics, deep learning, Indo-Aryan, predictions, sound change
Search term matches:
Tag
... deep learning ...
Full Text
... -Aryan dialectology stands to benefit greatly from the ap- plication of deep learning techniques. This paper seeks to ...
Retrieving Music Semantics from Optical Music Recognition by Machine Translation
Author(s):
Martha E. Thomae
Editor(s):
Elsa De Luca (see profile) , Julia Flanders
Date:
2020
Group(s):
Music Encoding Initiative
Subject(s):
Music, Digital humanities, Machine translation
Item Type:
Conference paper
Tag(s):
music encoding, mir, deep learning
Search term matches:
Tag
... deep learning ...
Deep Learning based Attribute Representation in Ancient Vase Paintings
Author(s):
Torsten Bendschus, Prathmesh Madhu (see profile)
Date:
2020
Group(s):
DH2020
Subject(s):
Classical archaeology, Computer vision, Machine learning
Item Type:
Video
Tag(s):
deep learning, greek vases, scene understanding
Search term matches:
Title
... Deep Learning based Attribute Representation in Ancient Vase Paintings ...
Tag
... deep learning ...
Deep Learning Based Attribute Representation in Ancient Vase Paintings
Author(s):
Torsten Bendschus, Prathmesh Madhu (see profile)
Date:
2020
Group(s):
DH2020
Subject(s):
Classical archaeology, Computer vision, Greek, Machine learning, Narrative
Item Type:
Conference proceeding
Tag(s):
deep learning, vases
Search term matches:
Title
... Deep Learning Based Attribute Representation in Ancient Vase Paintings ...
Tag
... deep learning ...
Full Text
... Words Torsten Bendschus, PhD; Prathmesh Madhu, M.Sc Deep Learning based Attribute Representation in ...
When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks
Author(s):
Wei-Ting Chang, Chang-Ting Chu, CHAO-LIN LIU (see profile) , Ti-Yong Zheng
Date:
2020
Group(s):
DH2020, Digital Humanists
Subject(s):
Artificial intelligence, Chinese studies, Digital humanities, Digital humanities research and methodology, Machine learning, Natural language processing
Item Type:
Video
Tag(s):
deep learning, explainable artificial intelligence, information extraction, text mining
Search term matches:
Tag
... deep learning ...

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