Editors' Preface

Brownlee, Kevin; Nichols, Stephen G.

doi:10.2307/2929845

Cited by 1 publication

(3 citation statements)

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“…The Europarl parallel corpora are extracted from the European Parliament's proceedings and include versions in 21 European languages [29]. Europarl [29] is a standard dataset that has been deployed for SMT and NMT [31]. Since recently, Europarl has also been employed for the training and testing of DL-based text SemCom systems.…”

Section: Data Standardization Tokenization and Vectorizationmentioning

confidence: 99%

“…Our uploaded English corpus needs to be standardized (or cleaned) since all non-printable characters, punctuation characters, and words that comprise non-alphabetic characters have to be removed [31], [35]. This necessitates the implementation of data standardization, which is highlighted below.…”

Section: Data Standardization Tokenization and Vectorizationmentioning

confidence: 99%

“…From this vocabulary, we remove all words that have an occurrence below a minimum specified threshold and generate our trimmed vocabulary. By taking our trimmed vocabulary and the loaded clean sentences as inputs, we create our Europarl document of clean sentences with reduced vocabulary by removing all words that are not in our trimmed vocabulary and marking their removal with "unk"-similar to the work in [31]. We then save our created Europarl document of clean sentences with reduced vocabulary, which we will employ in the preparation of our training, validation, and testing sets.…”

Section: B Data Vocabulary Reductionmentioning

confidence: 99%

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Making Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication

2023

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Semantic communication (SemCom) aims to convey the meaning behind a transmitted message by transmitting only semantically-relevant information. This semantic-centric design helps to minimize power usage, bandwidth consumption, and transmission delay. SemCom and goal-oriented SemCom (or effectiveness-level SemCom) are therefore promising enablers of 6G and developing rapidly. Despite the surge in their swift development, the design, analysis, optimization, and realization of robust and intelligent SemCom as well as goal-oriented SemCom are fraught with many fundamental challenges. One of the challenges is that the lack of unified/universal metrics of SemCom and goal-oriented SemCom can stifle research progress on their respective algorithmic, theoretical, and implementation frontiers. Consequently, this survey paper documents the existing metrics -scattered in many references -of wireless SemCom, optical SemCom, quantum SemCom, and goal-oriented wireless SemCom. By doing so, this paper aims to inspire the design, analysis, and optimization of a wide variety of SemCom and goal-oriented SemCom systems. This article also stimulates the development of unified/universal performance assessment metrics of SemCom and goal-oriented SemCom, as the existing metrics are purely statistical and hardly applicable to reasoning-type tasks that constitute the heart of 6G and beyond.

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Section: Data Standardization Tokenization and Vectorizationmentioning

confidence: 99%

Section: Data Standardization Tokenization and Vectorizationmentioning

confidence: 99%

Section: B Data Vocabulary Reductionmentioning

confidence: 99%

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