Transformer-Based Automatic Punctuation Prediction and Word Casing Reconstruction of the ASR Output
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962409" target="_blank" >RIV/49777513:23520/21:43962409 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-83527-9_7" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-83527-9_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-83527-9_7" target="_blank" >10.1007/978-3-030-83527-9_7</a>
Alternative languages
Result language
angličtina
Original language name
Transformer-Based Automatic Punctuation Prediction and Word Casing Reconstruction of the ASR Output
Original language description
The paper proposes a module for automatic punctuation prediction and casing reconstruction based on transformers architectures (BERT/T5) that constitutes the current state-of-the-art in many similar NLP tasks. The main motivation for our work was to increase the readability of the ASR output. The ASR output is usually in the form of a continuous stream of text, without punctuation marks and with all words in lowercase. The resulting punctuation and casing reconstruction module is evaluated on both the written text and the actual ASR output in three languages (English, Czech and Slovak).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TN01000024" target="_blank" >TN01000024: National Competence Center - Cybernetics and Artificial Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech, and Dialogue 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings
ISBN
978-3-030-83526-2
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
9
Pages from-to
86-94
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Olomouc, Czech Republic
Event date
Sep 6, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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