Ensuring proper punctuation and letter casing is a key pre-processing step towards applying
complex natural language processing algorithms. This is especially significant for textual …

Though people rarely speak in complete sentences, punctuation confers many benefits to
the readers of transcribed speech. Unfortunately, most ASR systems do not produce …

Many approaches have been proposed to predict punctuation marks. Previous results
demonstrate that these methods are effective. However, there still exists class imbalance …

Recent automatic speech recognition (ASR) is commonly developed using deep learning
(DL), instead of the Hidden Markov Model (HMM). Many researchers show that DL is much …

In a pipeline speech translation system, automatic speech recognition (ASR) system will
transmit errors in recognition to the downstream machine translation (MT) system. A …

This paper investigates the extent to which Arabic punctuation is rule-governed, with the aim
of improving text comprehension, disambiguation, and machine translation. The study …

Punctuation prediction is critical as it can enhance the readability of machine-transcribed
speeches or texts significantly by adding appropriate punctuation. Furthermore, systems like …

This paper describes the development of a general-purpose automatic speech recognition
system for Lithuanian. The system is capable of performing both the transcription of user …

The syllable-based automatic speech recognition (ASR) systems commonly perform better
than the phoneme-based ones. This paper focuses on developing an Indonesian …

Punctuation prediction is an essential task in natural language processing that involves
determining the appropriate position of punctuation marks in a given text. Accurate …