Subword Modeling
Subword Modeling is a computational linguistic method that segments speech or text into linguistic units smaller than a word—such as phonemes, syllables, or morphemes—to improve recognition accuracy by capturing sublexical patterns in spoken language processing.
352
Publications
17.2K
Citations
941
Authors
284
Institutions
Publications per year
2017–2026
135
Parents
352
Small-footprint keyword spotting using deep neural networks
Guoguo Chen, Carolina Parada, Georg Heigold · 2014 · 567 citations
BioWordVec, improving biomedical word embeddings with subword information and MeSH
Yijia Zhang, Qingyu Chen, Zhihao Yang et al. · Scientific Data · 2019 · 477 citations · Full text
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich, Barry Haddow, Alexandra Birch · 2016 · 446 citations · Full text
1–5 of 352
941
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Laboratoire de Sciences Cognitives et Psycholinguistique, France
7 publications · 406 citations
7
h-index
1–5 of 941
284
Carnegie Mellon University
Pittsburgh, United States
17 h-index
64 publications
6.1K citations

Johns Hopkins University
Baltimore, United States
16 h-index
38 publications
2.9K citations
Google (United States)
Mountain View, United States
12 h-index
40 publications
4.2K citations

Boğaziçi University
Istanbul, Türkiye
11 h-index
30 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
17 publications
1.6K citations

University of Edinburgh
Edinburgh, United Kingdom
10 h-index
25 publications
1.8K citations
AT&T (United States)
Bedminster, United States
10 h-index
33 publications
1.3K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
14 publications
617 citations
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Repository · 24 publications · 824 citations
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8 publications · 445 citations
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6 publications · 561 citations
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5 publications · 258 citations
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5 publications · 165 citations
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