Search (3585 results, page 180 of 180)

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Abstract

Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. Design/methodology/approach This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. Findings Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. Research limitations/implications The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. Practical implications Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. Social implications The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. Originality/value This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.

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Abstract

Multiword expressions (MWEs) are lexical items that can be decomposed into single words and display lexical, syntactic, semantic, pragmatic and/or statistical idiosyncrasy (Sag et al., 2002; Kim, 2008; Calzolari et al., 2002). The proper treatment of multiword expressions such as rock 'n' roll and make a decision is essential for many natural language processing (NLP) applications like information extraction and retrieval, terminology extraction and machine translation, and it is important to identify multiword expressions in context. For example, in machine translation we must know that MWEs form one semantic unit, hence their parts should not be translated separately. For this, multiword expressions should be identified first in the text to be translated. The chief aim of this thesis is to develop machine learning-based approaches for the automatic detection of different types of multiword expressions in English and Hungarian natural language texts. In our investigations, we pay attention to the characteristics of different types of multiword expressions such as nominal compounds, multiword named entities and light verb constructions, and we apply novel methods to identify MWEs in raw texts. In the thesis it will be demonstrated that nominal compounds and multiword amed entities may require a similar approach for their automatic detection as they behave in the same way from a linguistic point of view. Furthermore, it will be shown that the automatic detection of light verb constructions can be carried out using two effective machine learning-based approaches.

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Abstract

Findings The findings of this research suggest that individual learning and development are deemed to be the fundamental feature for professional success and survival in the continuously changing environment of the SW industry today. However, individual learning was described by the participants as much more than a mere individual process. It involves a collective and participatory effort within the organization and the sector as a whole, and a KS process that transcends organizational, cultural and national borders. Individuals in particular are mostly motivated by the pressing need to face and adapt to the dynamic and changeable environments of today's digital society that is led by the sector. Software practitioners are continuously in need of learning, refreshing and accumulating tacit knowledge, partly because it is required by their companies, but also due to a sound awareness of continuous technical and technological changes that seem only to increase with the advances of information technology. This led to a clear theoretical understanding that the continuous change that faces the sector has led to individual acquisition of culture and somatic knowledge that in turn lay the foundation for not only the awareness of the need for continuous individual professional development but also for the creation of habitus related to KS and continuous learning. Originality/value The study reported in this paper shows that there is a theoretical link between the existence of conducive organizational and sector-wide somatic and cultural knowledge, and the success of KS practices that lead to individual learning and development. Therefore, the theory proposed suggests that somatic and cultural knowledge are crucial drivers for the creation of habitus of individual tacit knowledge acquisition. The paper further proposes a habitus-driven individual development (HDID) Theoretical Model that can be of use to both academics and practitioners interested in fostering and developing processes of KS and individual development in knowledge-intensive organizations.

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Content

Another challenge appears when, e.g., mapping Dewey class 890 Literatures of other specific languages and language families, which does not make sense in UDC in which all languages and literatures have equal status. Standard UDC schedules do not have a selection of preferred literatures and other literatures. In principle, UDC does not allow classes entitled 'others' which do not have defined semantic content. If entities are subdivided and there is no provision for an item outside the listed subclasses then this item is subsumed to a top class or a broader class where all unspecifiied or general members of that class may be expected. If specification is needed this can be divised by adding an alphabetical extension to the broader class. Here we have to find and list in the UDC Summary all literatures that are 'unpreferred' i.e. lumped in the 890 classes and map them again as many-to-one specific-to-broader match. The example below illustrates another interesting case. Classes Dewey 061 and UDC 06 cover roughy the same semantic field but in the subdivision the Dewey Summaries lists a combination of subject and place and as an enumerative classification, provides ready made numbers for combinations of place that are most common in an average (American?) library. This is a frequent approach in the schemes created with the physical book arrangement, i.e. library schelves, in mind. UDC, designed as an indexing language for information retrieval, keeps subject and place in separate tables and allows for any concept of place such as, e.g. (7) North America to be used in combination with any subject as these may coincide in documents. Thus combinations such as Newspapers in North America, or Organizations in North America would not be offered as ready made combinations. There is no selection of 'preferred' or 'most needed countries' or languages or cultures in the standard UDC edition: <Tabelle>

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Content

6. Establishment of national Knowledge Organization Institutes should be scheduled by national chapters, planned energetically and submitted to corresponding administrative authorities for support. They could be attached to research institutions, e.g., the Max-Planck or Fraunhofer Institutes in Germany or to universities. Their scope and research areas relate to the elaboration of knowledge systems of subject related concepts, according to Desideratum 1, and may be connected to training activities and KOsubject-related research work. 7. ISKO experts should not accept to be impressed by Internet and Computer Science, but should demonstrate their expertise more actively on the public plane. They should tend to take a leading part in the ISKO Secretariats and the KO Institutes, and act as consultants and informants, as well as editors of statistics and other publications. 8. All colleagues trained in the field of classification/indexing and thesauri construction and active in different countries should be identified and approached for membership in ISKO. This would have to be accomplished by the General Secretariat with the collaboration of the experts in the different secretariats of the countries, as soon as they start to work. The more members ISKO will have, the greater will be its reputation and influence. But it will also prove its professionalism by the quality of its products, especially its innovating conceptual order systems to come. 9. ISKO should-especially in view of global expansion-intensify the promotion of knowledge about its own subject area through the publications mentioned here and in further publications as deemed necessary. It should be made clear that, especially in ISKO's own publications, professional subject indexes are a sine qua non. 10. 1) Knowledge Organization, having arisen from librarianship and documentation, the contents of which has many points of contact with numerous application fields, should-although still linked up with its areas of descent-be recognized in the long run as an independent autonomous discipline to be located under the science of science, since only thereby can it fully play its role as an equal partner in all application fields; and, 2) An "at-a-first-glance knowledge order" could be implemented through the Information Coding Classification (ICC), as this system is based on an entirely new approach, namely based on general object areas, thus deviating from discipline-oriented main classes of the current main universal classification systems. It can therefore recoup by simple display on screen the hitherto lost overview of all knowledge areas and fields. On "one look", one perceives 9 object areas subdivided into 9 aspects which break down into 81 subject areas with their 729 subject fields, including further special fields. The synthesis and place of order of all knowledge becomes thus evident at a glance to everybody. Nobody would any longer be irritated by the abundance of singular apparently unrelated knowledge fields or become hesitant in his/her understanding of the world.