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Article

3 Citations

1,728 Views

20 Pages

Tibetan Sentence Boundaries Automatic Disambiguation Based on Bidirectional Encoder Representations from Transformers on Byte Pair Encoding Word Cutting Method

Fenfang Li,
Zhengzhang Zhao,
Li Wang and
Han Deng

Appl. Sci.2024, 14(7), 2989;https://doi.org/10.3390/app14072989

2 April 2024

Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and...

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Article

4 Citations

3,641 Views

15 Pages

Pauses and Parsing: Testing the Role of Prosodic Chunking in Sentence Processing

Caoimhe Harrington Stack and
Duane G. Watson

Languages2023, 8(3), 157;https://doi.org/10.3390/languages8030157

28 June 2023

It is broadly accepted that the prosody of a sentence can influence sentence processing by providing the listener information about the syntax of the sentence. It is less clear what the mechanism is that underlies the transmission of this information...

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Article

1 Citations

2,575 Views

25 Pages

Estimating Sentence-like Structure in Synthetic Languages Using Information Topology

Andrew D. Back and
Janet Wiles

Entropy2022, 24(7), 859;https://doi.org/10.3390/e24070859

22 June 2022

Estimating sentence-like units and sentence boundaries in human language is an important task in the context of natural language understanding. While this topic has been considered using a range of techniques, including rule-based approaches and supe...

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Proceeding Paper

7 Citations

7,773 Views

9 Pages

A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing

Mritunjay Ranjan,
Sanjay Tiwari,
Arif Md Sattar and
Nisha S. Tatkar

Eng. Proc.2023, 59(1), 181;https://doi.org/10.3390/engproc2023059181

17 January 2024

Business and science are using sentiment analysis to extract and assess subjective information from the web, social media, and other sources using NLP, computational linguistics, text analysis, image processing, audio processing, and video processing...

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