Search results

The purpose of this paper is to explore and analyze the digitized newspaper collection at the National Library of Sweden, focusing on cultural heritage as digital noise. In what specific ways are newspapers transformed in the digitization process? If the digitized document is not the same as the source document – is it still a historical record, or is it transformed into something else?

The authors have analyzed the XML files from Aftonbladet 1830 to 1862. The most frequent newspaper words not matching a high-quality references corpus were selected to zoom in on the noisiest part of the paper. The variety of the interpretations generated by optical character recognition (OCR) was examined, as well as texts generated by auto-segmentation. The authors have made a limited ethnographic study of the digitization process.

The research shows that the digital collection of Aftonbladet contains extreme amounts of noise: millions of misinterpreted words generated by OCR, and millions of texts re-edited by the auto-segmentation tool. How the tools work is mostly unknown to the staff involved in the digitization process? Sticking to any idea of a provenance chain is hence impossible, since many steps have been outsourced to unknown factors affecting the source document.

The detail examination of digitally transformed newspapers is valuable to scholars depending on newspaper databases in their research. The paper also highlights the fact that libraries outsourcing digitization processes run the risk of losing control over the quality of their collections.

Research has identified inverted U-shaped relationships between domestic competitive position, often cast in terms of home-country market share or relative profitability, and speed of entry into a foreign market. However, in some industries, firms may be especially attentive and responsive to competition between firms in their local-home market (i.e. sub-national). Hence, this study aims to explore the effect of local-home market competitive intensity on the relationship between a firm’s overall competitive position and speed of entry into a foreign market.

Data from 114 large US corporate law firms from 1992 through 2008 were used for Cox proportional-hazards regression models to estimate the moderating effect of local-home market competitive intensity on the relationship between relative profitability at the national level and speed of entry (i.e. hazard rate) into China.

Less-dominant firms from highly competitive local-home markets entered China more quickly than less-dominant firms from less-competitive local-home markets. In addition, first-movers from highly competitive local-home markets tended to have more advantageous competitive profiles, as reflected in profitability, than first-movers from less-competitive local-home markets.

This research explores an important contingency in the relationship between a firm’s competitive position at home and timing of entry into a foreign market. Additionally, the results suggest that first-movers from less-competitive local-home markets may face immediate competition from better-positioned first-movers from more competitive locations within the same home market when they enter new markets.

The purpose of this paper is to address the most urgent challenges that libraries face in the mass digitization of historical printed text: the unsatisfactory result of the conversion of scanned images to full featured electronic text by means of automated optical character recognition (OCR); the historical language barrier around 1850, caused by inadequacy of most existing lexica for historical language for OCR or post‐correction and a lack of institutional knowledge and expertise in libraries, museums and archives.

In the EC‐funded project IMPACT (Improving Access to Text), seven libraries, six research institutes and two private sector companies across Europe work together to address the challenges by the development of OCR software and technologies which exceed the accurateness of current state‐of‐the‐art software significantly. The IMPACT solutions focus on the entire process of recognition after the document leaves the scanner: Image processing, OCR processing (including use of dictionaries), OCR correction and Document formatting. IMPACT will also build capacity in mass digitization by sharing best practice and expertise with the cultural heritage communities in Europe.

Technical results will include toolkits for image enhancement and segmentation, an adaptive OCR engine and several prototypes of experimental OCR engines, computational lexica and several post‐correction modules including a web based collaborative correction system and a parser for structural metadata. Strategic tools include several decision support tools, guidelines, a web site with demonstrator platform, a training programme and ultimately, a sustainable Centre of Competence for mass digitization in Europe.

The IMPACT solutions will allow for the first time to transform large amounts of digitized historical texts into electronic text with a minimum of manual interference and a significantly improved accessibility for the user.