Smart Project Management: Interactive Platform Using Natural Language Processing Technology

Chen, Jieh Haur; Su, Mu-Chun; Azzizi, Vidya Trisandini; Wang, Ting-Kwei; Lin, Wei-Jen

doi:10.3390/app11041597

Cited by 12 publications

(4 citation statements)

References 31 publications

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“…Microsoft, Baidu, and Google have launched AI-based intelligent translation systems. However, the machine translation based on AI technology has made great progress, and there are still many shortcomings in terms of deep semantic structure, different stylistic styles, language styles, and discourse levels, which are hard to satisfy the needs of practical application [2]. erefore, we need to build a corpus with big data.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Application of the Business English Translation Query and Decision Model with Big Data Corpus

Gong¹

2022

Security and Communication Networks

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This paper aims to build an English translation query and decision support model using big data corpus and applies it to business English translation. Firstly, the existing convolutional network is improved by using depth-separable convolution, and the input statements are mapped to the depth feature space. Secondly, the attentional mechanism is used to enhance the expressive ability of input sentences in deep feature space. Then, considering the sequential relationship, use long short-term memory (LSTM) neural network as a decoder block to generate the corresponding translation of the input sentence. Finally, nonparametric metric learning module is used to improve the model in an end-to-end way. Wide range of experiments on the multiple corpora have shown the proposed model has better real-time performance while maintaining high precision in translation and query, and it has a certain practical application value.

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Section: Introductionmentioning

confidence: 99%

Analysis and Application of the Business English Translation Query and Decision Model with Big Data Corpus

Gong¹

2022

Security and Communication Networks

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“…Introduced the thesis, the research direction needed to face some problems, including the research of core components. No system requires key technology, and the open platform for natural language processing capabilities has a certain system architecture, and various subsystems and functional modules need to be designed [9]. This article needs to study and solve the problems faced by these two aspects [10].…”

Section: Related Workmentioning

confidence: 99%

Robust Speech Recognition in Sports Competition Review based on Natural Language Processing

Wang

Feng

et al. 2023

Preprint

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Mass communication media is developing at a fast speed, and they have obtained richer methods through different ways of combining, which has attracted people's attention even more. There are many steps in sports competition review, and this article is to study these necessary steps. Sports commentary seems easy, but it is not simple. It includes many links, the content of the explanation should be substantial, and there are many requirements for the language, and at the same time, the emotions of the explanation must be grasped. Every link has a requirement. After summarizing experience, this chapter will rationally use the theory of natural language processing and another theory of robust speech recognition, so as to master each basic link, explain it, and understand the basic laws necessary for review . This article comprehensively describes the robust speech recognition technology, classifies and summarizes several aspects, and conducts more detailed research and discussion on improving its performance. Robust speech recognition systems will always have some problems about mismatch, which requires continuous innovation of some new acoustic models, so that they can be more adapted to the environment. In order to make better use of robust speech recognition performance, in this article, it has innovated the characteristics of its speech, and optimized the parameters and the front-end and back-end cooperation. In this way, it can be better with The combined use of natural language allows commentators to innovate better and increase the popularity of sports competition reviews.

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“…Ref. [22] has argued that an interactive platform for stakeholders may be required to overcome communication difficulties. According to [23], effective communication is very important and fundamental in project management since teams work together to achieve project goals.…”

Section: Team Communicationmentioning

confidence: 99%

Exploring the Relationship between Communication and Success of Construction Projects: The Mediating Role of Conflict

et al. 2021

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The success of a construction project is a widely discussed topic, even today, and there exists a difference of opinion. The impact of communication and conflict on project success is an important, but least addressed, issue in literature, especially in the case of underdeveloped countries. Miscommunication and conflict not only hinder the success of a project but also may lead to conflicts. The focus of this paper was to examine the impact of communication on project success with the mediating role of conflict. By using SPSS, demographics, descriptive statistics and correlation were determined. Smart PLS version 3.0 was used for confirmatory factor analysis (CFA), internal accuracy and validity estimates, hypothesis checking and mediation testing. The results showed that formal communication has a negative impact on the success of a construction project, resulting in conflicts among project team members, whereas informal communication and communication willingness have a positive impact on project success because people tend to know each other, and trust is developed. Task, process and relationship conflicts were used as mediating variables. It was found that task conflict effects the relations positively because project team members suggest different ways to do a certain task, and, hence, project success is achieved. On the contrary, process conflict and relationship conflict have a negative impact on communication and project success. Both of these conflicts lead to miscommunication, and project success is compromised. Hence, it is the responsibility of the project manager to enhance communication among project team members and to reduce the detrimental effects of process and relationship conflict on project success.

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Smart Project Management: Interactive Platform Using Natural Language Processing Technology

Cited by 12 publications

References 31 publications

Analysis and Application of the Business English Translation Query and Decision Model with Big Data Corpus

Analysis and Application of the Business English Translation Query and Decision Model with Big Data Corpus

Robust Speech Recognition in Sports Competition Review based on Natural Language Processing

Exploring the Relationship between Communication and Success of Construction Projects: The Mediating Role of Conflict

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