Open Access

Lexicographers working with minority languages face many challenges. When the language in question is also a sign language, circumstances specific to the visual-spatial modality have to be taken into consideration as well. In this paper, we aim to show and discuss which challenges we encounter while compiling the Digitales Wörterbuch der Deutschen Gebärdensprache (DW-DGS), the first corpus-based dictionary of German Sign Language (DGS). Some parallel the challenges minority language lexicographers of spoken languages encounter, e. g. few resources, no written tradition, and having to create one dictionary for all potential user groups, while others are specific to sign languages, e. g. representation of visual-spatial language and creating access structures for the dictionary.

Given the relevance of interoperability, born-digital lexicographic resources as well as legacy retro-digitised dictionaries have been using structured formats to encode their data, following guidelines such as the Text Encoding Initiative or the newest TEI Lex-0. While this new standard is being defined in a stricter approach than the original TEI dictionary schema, its reuse of element names for several types of annotation as well as the highly detailed structure makes it difficult for lexicographers to efficiently edit resources and focus on the real content. In this paper, we present the approach designed within LeXmart to facilitate the editing of TEI Lex-0 encoded resources, guaranteeing consistency through all editing processes.

Basnage’s revision (1701) of Furetiere’s Dictionnaire universel is profoundly different from Furetiere’s work in several regards. One of the most noticeable features of the dictionary lies in his in- creased use of usage labels. Although Furetiere already made use of usage labels (see Rey 1990), Basnage gives them a prominent role. As he states in the preface to his edition, a dictionary that aspires to the title of “universal” should teach how to speak in a polite way (“poliment”), right (“juste”) and making use of specific terminology for each art. He specifies, lemma by lemma, the diaphasic dimension by indicating the word’s register and context of use, the diastratic one by noting the differences in the use of the language within the social strata, the diachronic evolution by indicating both archaisms and neologisms, the diame- sic aspect by highlighting the gaps between oral and written language, the diatopic one by specifying either foreign borrowings or regionalisms. After extracting the entries containing formulas such as “ce mot est...”, “ce terme est...” and similar ones, we compare the number of entries and the type of information provided by the two lexicographers1. In this paper, we will focus on Basnage’s innovative contribution. Furthermore, we will try to identify the lexi- cographer’s sources, i. e. we will try to establish on which grammars, collections of linguistic remarks or contemporary dictionaries Basnage relies his judgements.

In the currently ongoing process of retro-digitization of Serbian dialectal dictionaries, the biggest obstacle is the lack of machine readable versions of paper editions. Therefore, one essential step is needed before venturing into the dictionary-making process in the digital environment – OCRing the pages with the highest possible accuracy. Successful retro-digitization of Serbian dialectal dictionaries, currently in progress, has shown a dire need for one basic yet necessary step, lacking until now – OCRing the pages with the highest possible accuracy. OCR processing is not a new technology, as many opensource and commercial software solutions can reliably convert scanned images of paper documents into digital documents. Available software solutions are usually efficient enough to process scanned contracts, invoices, financial statements, newspapers, and books. In cases where it is necessary to process documents that contain accented text and precisely extract each character with diacritics, such software solutions are not efficient enough. This paper presents the OCR software called “SCyDia”, developed to overcome this issue. We demonstrate the organizational structure of the OCR software “SCyDia” and the first results. The “SCyDia” is a web-based software solution that relies on the open-source software “Tesseract” in the background. “SCyDia” also contains a module for semi-automatic text correction. We have already processed over 15,000 pages, 13 dialectal dictionaries, and five dialectal monographs. At this point in our project, we have analyzed the accuracy of the “SCyDia” by processing 13 dialectal dictionaries. The results were analyzed manually by an expert who examined a number of randomly selected pages from each dictionary. The preliminary results show great promise, spanning from 97.19% to 99.87%.

This paper investigates synchronic variation in the lexical and grammatical environments of the German lexical verb verdienen ‘earn’, ‘deserve’. In its lexical uses, verdienen co-occurs with an object noun phrase whose head is either concrete (e.g. Geld ‘money’) or, more commonly, abstract (e.g. Beachtung ‘attention’). When it is used more grammatically with deontic modal meaning, verdienen is followed by a passive or active infinitive. This paper uses collostructional analyses to contrast lexical and grammatical uses in terms of the most strongly attracted lexical items, which are grouped into semantic classes. The results reflect different degrees of host-class expansion (cf. Himmelmann 2004), whereby the collexemes of verdienen expand from concrete to abstract and their morpho-syntactic contexts from nominal to infinitival complement and subsequently from passive to active. Synchronic distribution can thus serve as a window on diachronic development (Kuteva 2001), in this case the rise of a deontic modality marker.