DATECH

Current research in Corpus Linguistics and related disciplines within the multi-disciplinary field of Digital Humanities, involves computer-aided manual processing of large text corpora. Typically, corpus instances are retrieved with the help of ...

In this paper, we describe the challenge of transcribing a large corpus of handwritten music scores. We conducted an evaluation study of three existing optical music recognition (OMR) tools. The evaluation results indicate that OMR approaches do not ...

This article describes research in automatic content-based temporal classification of texts. Experiments are carried out on a set of texts coming from Polish digital libraries, dating between the years 1814 and 2013. Following successful research in the ...

This paper presents a tool for processing dictionaries in Word format and for obtaining the XML format which can be used in various applications. DEPAR (Dictionary Entry Parser) permits the introduction of a specific set of rules to describe the ...

The amount of data in contemporary digital corpora is too large to be processed manually, which increases the necessity for computer linguistic tools in humanities. However, the processing of natural languages is a challenge for automatic tools, because ...

Data-driven syntactic parsers are usually trained, tested and developed on web-news data. Little has been done to evaluate them on literary genres of different ages, which are still low-resource varieties in terms of syntactic annotation. In this paper, ...

In this paper a search service developed for the exploitation of a TEI-based Spanish poetry corpus is presented. Besides a textual retrieval, the search service takes advantage of the metrical annotation to retrieve verses and poems with specific ...

In the absence of ground truth it is not possible to automatically determine the exact spectrum and occurrences of OCR errors in an OCR'ed text. Yet, for interactive postcorrection of OCR'ed historical printings it is extremely useful to have a ...

This paper describes an efficient and straightforward methodology for OCR-ing and post-correcting Arabic text material on Islamic embryology collected for the COBHUNI project. As the target texts of the project include diverse diachronic stages of the ...

The accuracy of Optical Character Recognition (OCR) is sets the limit for the success of subsequent applications used in text analyzing pipeline. Recent models of OCR postprocessing significantly improve the quality of OCR-generated text but require ...

This paper deals with the application of the digitization methods designed by LMU CIS team and with the encoding of the data obtained with the aim of building an edition of a Latin author based on the first printed editions and on two manuscripts of the ...

The recent enhancement of the morphological analyser for Latin Lemlat with a large Onomasticon enables us to analyse both the morphology and the distribution of loanwords in the Latin lexicon. In this paper, first we describe the categories of proper ...

In this paper we present the lemmatizer that we developed for Ancient Greek: GLEM. As far as we know, GLEM is the first publicly available lemmatizer for Ancient Greek that uses POS information to disambiguate and that also assigns output to unseen ...

In this paper we present work in developing a computerized grammar for the Latin language.

It demonstrates the principles and challenges in developing a grammar for a natural language in a modern grammar formalism.

The grammar presented here provides a ...

This paper investigates the distribution of word formation data through network visualisation, as an entry point for the exploration / analysis of productivity in affixal derivation in Classical Latin. This study uses data from the Word Formation Latin ...

This paper describes the structure of an extensible metadata quality assessment framework, which supports multiple metadata schemas, and is flexible enough to work with new schemas. The software has to be scalable to be able to process huge amount of ...

This paper describes how to turn a Latin dependency treebank into queryable information so that it can be browsed online using a tree query engine and its web interface. The annotation layers of the treebank are first introduced, then the query system ...

In this paper we give an overview on a number of achieved and on-going efforts dealing with porting to the Linked Data framework electronic versions of past classification schemes in the field of folktale narratives. Three of those schemes are in the ...

This paper presents and discusses a project design aimed at producing synthetic and intuitive visualizations of the reception of Italian literature in nineteenth-century England. In the first part, a processing pipeline is described which combines ...

A semi-automatic open-source tool for layout analysis on early printed books is presented. LAREX uses a rule based connected components approach which is very fast, easily comprehensible for the user and allows an intuitive manual correction if ...

The paper discusses recognition of Romanian texts of the 17th--20th centuries printed in the Cyrillic script, and their conversion to the modern Latin script.

The elaborated technology and a tool pack include historical alphabets, sets of recognition ...

Censuses comprise a wealth of information at a large (national) scale that allow governments (who commission them) and the public to have a detailed snapshot of how people live (geographical distribution and characteristics). In addition to underpinning ...

This paper provides the first thorough documentation of a high quality digitization process applied to an early printed book from the incunabulum period (1450-1500). The entire OCR related workflow including preprocessing, layout analysis and text ...

This paper discusses how the Ancient Graffiti Project publishes the digital content of ancient epigraphic material and makes handwritten inscriptions from the first century AD more accessible through the use of geo-referenced, spatial interfaces, ...

Cultural heritage institutions have recently started to explore the added value of sharing their data, using Linked Open Data to integrate and enrich metadata of their collections. The catalogue of the Biblioteca Virtual Miguel de Cervantes contains ...

Historians are often interested in the locations mentioned in digitized collections. However, place names are highly ambiguous and may change over time, which makes it especially hard to automatically ground mentions of places in historical texts to ...

Named Entity Recognition (NER), search, classification and tagging of names and name like frequent informational elements in texts, has become a standard information extraction procedure for textual data. NER has been applied to many types of texts and ...