A comprehensive review of conditional random fields: variants, hybrids and applications

B Yu, Z Fan - Artificial Intelligence Review, 2020 - Springer
The conditional random fields (CRFs) model plays an important role in the machine learning
field. Driven by the development of the artificial intelligence, the CRF models have enjoyed …

Exploring collaborative caption editing to augment video-based learning

B Bhavya, S Chen, Z Zhang, W Li, C Zhai… - … technology research and …, 2022 - Springer
Captions play a major role in making educational videos accessible to all and are known to
benefit a wide range of learners. However, many educational videos either do not have …

Correction of whitespace and word segmentation in noisy Pashto text using CRF

I Haq, W Qiu, J Guo, P Tang - Speech Communication, 2023 - Elsevier
Word segmentation is the process of splitting up the text into words. In English and most
European languages, word boundaries are identified by whitespace, while in Pashto, there …

SubER: A Metric for Automatic Evaluation of Subtitle Quality

P Wilken, P Georgakopoulou, E Matusov - arXiv preprint arXiv:2205.05805, 2022 - arxiv.org
This paper addresses the problem of evaluating the quality of automatically generated
subtitles, which includes not only the quality of the machine-transcribed or translated …

Assessing quality in human-and machine-generated subtitles and captions

S Doherty, JL Kruger - Translation quality assessment: From principles to …, 2018 - Springer
The depth, breadth, and complexity of audiovisual translation (AVT) are growing at a rapid
rate. AVT is becoming increasingly merged with language technologies, including computer …

Computer Vision and Image Processing for Precision Agriculture

N Khatri, GU Shinde - Cognitive Behavior and Human …, 2021 - Wiley Online Library
Computer vision is the area through which machines “see”. Instead of eyes, it uses cameras
to locate, monitor, and quantify the targets for further image processing. In precision …

Evaluating subtitle segmentation for end-to-end generation systems

A Karakanta, F Buet, M Cettolo, F Yvon - arXiv preprint arXiv:2205.09360, 2022 - arxiv.org
Subtitles appear on screen as short pieces of text, segmented based on formal constraints
(length) and syntactic/semantic criteria. Subtitle segmentation can be evaluated with …

Dodging the data bottleneck: Automatic subtitling with automatically segmented ST corpora

S Papi, A Karakanta, M Negri, M Turchi - arXiv preprint arXiv:2209.10608, 2022 - arxiv.org
Speech translation for subtitling (SubST) is the task of automatically translating speech data
into well-formed subtitles by inserting subtitle breaks compliant to specific displaying …

Automating Easy Read Text Segmentation

J Calleja, T Etchegoyhen, D Ponce - arXiv preprint arXiv:2406.11464, 2024 - arxiv.org
Easy Read text is one of the main forms of access to information for people with reading
difficulties. One of the key characteristics of this type of text is the requirement to split …

Are Subtitling Corpora really Subtitle-like?

A Karakanta, M Negri, M Turchi - … of the Sixth Italian Conference on …, 2019 - cris.fbk.eu
Growing needs in translating multimedia content have resulted in Neural Machine
Translation (NMT) gradually becoming an established practice in the field of subtitling …