Continuity of singular perturbations in the graph topology

AbstractFor a certain model for singular perturbations in control systems, which we motivate by a simple example, we show that under weak assumptions continuity in the graph topology holds as the perturbation parameter tends to zero. This may be contrasted with a result by Cobb, who considered a different model for singular perturbations and who found a strong condition to be necessary for continuity in that model. Our proof techniques are based on the characterization (due to Qiu and Davison) of the graph topology as a topology of uniform convergence

Handwritten Text Recognition for Historical Documents in the tranScriptorium Project

""© Owner/Author 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM, In Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage (pp. 111-117) http://dx.doi.org/10.1145/2595188.2595193Transcription of historical handwritten documents is a crucial problem for making easier the access to these documents to the general public. Currently, huge amount of historical handwritten documents are being made available by on-line portals worldwide. It is not realistic to obtain the transcription of these documents manually, and therefore automatic techniques has to be used. tranScriptorium is a project that aims at researching on modern Handwritten Text Recognition (HTR) technology for transcribing historical handwritten documents. The HTR technology used in tranScriptorium is based on models that are learnt automatically from examples. This HTR technology has been used on a Dutch collection from 15th century selected for the tranScriptorium project. This paper provides preliminary HTR results on this Dutch collection that are very encouraging, taken into account that minimal resources have been deployed to develop the transcription system.The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 600707 - tranScriptorium and the Spanish MEC under the STraDa (TIN2012-37475-C02-01) research project.Sánchez Peiró, JA.; Bosch Campos, V.; Romero Gómez, V.; Depuydt, K.; De Does, J. (2014). Handwritten Text Recognition for Historical Documents in the tranScriptorium Project. ACM. https://doi.org/10.1145/2595188.2595193

The Database of the Southern Dutch Dialects: new opportunities for digital lexicological research

The Southern Dutch dialect area consists of four dialect groups; the Flemish, Brabantic, Limburgian and the Zeeland dialects, partly found in the Netherlands, in Belgium and in NordPas-de-Calais (France). Each of these dialects has been described in a separate dictionary. The Flemish, Brabantic and Limburgian dialect dictionaries are similarly constructed onomasiological dialect dictionaries, whereas the Zeeland dialect dictionary is semasiologically arranged. The Database of the Southern Dutch Dialects (DSDD) project, initiated by Ghent University and undertaken in close collaboration with the Dutch Language Institute, aimed to combine the onomasiological dictionaries into one platform accessible for both dialect researchers and a wider audience. Following the launch of the DSDD platform in 2020, dialect researchers can now make use of extensive search functionalities and geo-visualise their results on an interactive map. The DSDD enables searching for individual dialect words (e.g. puit 'frog'), for all dialect words from a certain municipality or region (e.g. all dialect words from the city of Antwerp) or for all dialect words belonging to a certain concept (e.g. 'frog') or theme (fauna). Filters are available to make the search query as accurate as possible. Based on the search results, interactive maps can be compiled, visualising the data in its geographical setting. The results can be clustered in various ways, using, for instance, frequency or etymologically related entries. The maps are flexible enabling the user, for example, to select the required level of detail to be visualised for the chosen region. A set of symbols and colours is available and can be arranged according to the user’s needs. The area map can be enlarged or reduced in size and printed or downloaded as a PDF file. In the future, the alphabetical dialect data from the Woordenboek der Zeeuwse Dialecten will be added to the platform. References Van Keymeulen, J., V. De Tier, R. Vandenberghe & S. Chambers (2019), The dictionary of the Southern Dutch Dialects (DSDD): designing a virtual research environment for digital lexicological research. in: Dialectologia. Special issue, 8 (2019), 93-115

Modelling frequency and attestations for OntoLex-Lemon

The OntoLex vocabulary enjoys increasing popularity as a means of publishing lexical resources with RDF and as Linked Data. The recent publication of a new OntoLex module for lexicography, lexicog, reflects its increasing importance for digital lexicography. However, not all aspects of digital lexicography have been covered to the same extent. In particular, supplementary information drawn from corpora such as frequency information, links to attestations, and collocation data were considered to be beyond the scope of lexicog. Therefore, the OntoLex community has put forward the proposal for a novel module for frequency, attestation and corpus information (FrAC), that not only covers the requirements of digital lexicography, but also accommodates essential data structures for lexical information in natural language processing. This paper introduces the current state of the OntoLex-FrAC vocabulary, describes its structure, some selected use cases, elementary concepts and fundamental definitions, with a focus on frequency and attestations

tranScriptorium: a european project on handwritten text recognition

The tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology. Three actions are planned in tranScriptorium: i) improve basic image preprocessing and holistic HTR techniques; ii) develop novel indexing and keyword searching approaches; and iii) capitalize on new, user-friendly interactive-predictive HTR approaches for computer-assisted operation.The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 600707 - tranScriptorium.Sánchez Peiró, JA.; Mühlberger, G.; Gatos, B.; Schofield, P.; Depuydt, K.; Davis, RM.; Vidal, E.... (2013). tranScriptorium: a european project on handwritten text recognition. ACM. https://doi.org/10.1145/2494266.2494294