Translation Product and Process Data

2021 ◽  
pp. 131-152
Author(s):  
Tatiana Serbina ◽  
Stella Neumann
Author(s):  
Omar Msaaf ◽  
Roland Maranzana ◽  
Louis Rivest

Difficulty in locating existing information in order to reuse it constitutes a major challenge to productivity. The use of PLM systems (Product Lifecycle Management) aims in particular to reduce the time and cost of developing a product by facilitating the re-use of existing parts or related information (process plans, tools, FEM, estimates, etc.). When information is alphanumerical, using search engines, such as those made popular on the internet, is efficient. However, a significant portion of information used in engineering rests within CAD (Computer Aided Design) models, making such search tools irrelevant. To aid in the re-use of information, two problems must be resolved: it is first necessary to be able to locate similar parts in the electronic database of the company, and then be able to systematically identify their differences. This article presents some of the results from our work on part, product and process data mining (P3DM). It focuses on tools developed to search similar 3D geometric models and to identify their differences. The PartFinder application locates similar parts by comparing signatures extracted from their solid representations. The 3DComparator aims to identify the differences in terms of Form and Fit between the identified parts. In both cases, the recommended approach is independent of the CAD system, and can also deal with parts represented by IGES or STEP files. Moreover, the approach does not require that the parts occupy the same position and have the same orientation in space. These two points, CAD and position independence, are the main benefits of our approach compared to other existing applications. Lastly, if the comparison takes place between two evolutions of the same geometrical representation of a part, a third tool allows the comparison of the specification trees. The SpecComparator is also presented briefly. An example based on industrial data illustrates the benefit that could be generated.


2021 ◽  
Author(s):  
Ana Rojo López ◽  
◽  
Paula Cifuentes Férez ◽  
Marina Ramos Caro ◽  
◽  
...  

The present study researches the correlation between translators’ creative personality and their behaviour by using a combination of psychological, key-logging and screen-recording methods as well as the evaluation of participants’ translation output. Participants were asked to translate a literary text without knowing that it posed the additional challenge of transferring manner of motion verbs into Spanish. The experiment correlated the participants’ scores on a validated creativity test (i.e., CREA, Corbalán Berná et al., 2003) with their scores on process indicators of fluency as one of the key dimensions of creativity as well as product indicators of flexibility, novelty, and accuracy. To this purpose, the logging tool Inputlog was used to measure dwell ratio, total translation time, time interval between ST processing and TT production and time devoted to revision. The screen recording software CamStudio was also used to analyse participants’ creativity in searching and retrieving information. Although few significant statistical results were found, our study suggests that creative translators’ potential can be traced both in their translation product and process.


Author(s):  
Yuh-Min Chen ◽  
Cheng-Ter Ho ◽  
Yun-Tau Hsiao

Abstract This paper presents a collaborative data management framework which is capable of supporting information sharing and team data management in concurrent team-oriented product and process development by providing functions for project configuration, personal product and process item management, and team library management. Establishing this framework involves: (i) identification of functional requirements for computer-aided engineering data management through the investigation of concurrent product delivery process, with an emphasis on product and process development, (ii) use of system engineering and object-oriented modeling techniques for development of the proposed framework.


Author(s):  
BOONSERM KULVATUNYOU ◽  
NENAD IVEZIC ◽  
RICHARD A. WYSK ◽  
ALBERT JONES

Collaborative development of engineered products in a business to business (B2B) environment requires more than the selection of components from an on-line catalogue. It involves the electronic exchange of product, process, and production engineering information during both design and manufacturing. Although the state of the practice does include a variety of ways to exchange product data electronically, it does not extend to the exchange of manufacturing process data. The reason is simple: process data are usually tied to specific manufacturing resources. These resources are not known typically at product development time. This paper proposes an approach called integrated product and process data, in which manufacturing process data are considered during product development. This approach replaces traditional process plans, which are resource specific, with a resource-independent process representation. Such a representation will allow a much wider collaboration among business partners and provide the necessary base for collaborative product development.


Author(s):  
Cerstin Mahlow ◽  
Malgorzata Anna Ulasik ◽  
Don Tuggener

AbstractProducing written texts is a non-linear process: in contrast to speech, writers are free to change already written text at any place at any point in time. Linguistic considerations are likely to play an important role, but so far, no linguistic models of the writing process exist. We present an approach for the analysis of writing processes with a focus on linguistic structures based on the novel concepts of transforming sequences, text history, and sentence history. The processing of raw keystroke logging data and the application of natural language processing tools allows for the extraction and filtering of product and process data to be stored in a hierarchical data structure. This structure is used to re-create and visualize the genesis and history for a text and its individual sentences. Focusing on sentences as primary building blocks of written language and full texts, we aim to complement established writing process analyses and, ultimately, to interpret writing timecourse data with respect to linguistic structures. To enable researchers to explore this view, we provide a fully functional implementation of our approach as an open-source software tool and visualizations of the results. We report on a small scale exploratory study in German where we used our tool. The results indicate both the feasibility of the approach and that writers actually revise on a linguistic level. The latter confirms the need for modeling written text production from the perspective of linguistic structures beyond the word level.


Author(s):  
Parisa Ghodous ◽  
Denis Vandorpe

Abstract The integration in computer integrated manufacturing systems (CIMs) plays a significant role in improving the quality and productivity. To achieve this objective, a uniform product and process representation and an effective, comprehensive and reliable data exchange mechanism are required. Recent works on product data integration have led to STEP (international Standard for Exchange of Product data models). In this paper, we define a model which integrates the STEP product data models with process data models. The idea of classification of STEP product data models is used to classify the process data models. Examples from mechanical industries are included to demonstrate the features of this model.


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