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Pogled u e-leksikografiju
(2015)
U radu se daje pregled temeljnih pojmova i klasifikacija u području e-leksikografije. Donosi se klasifikacija e-rječnika, prikazuje se leksikografski proces izrade e-rječnika te pregled najraširenijih sustava za izradu rječnika (DWS) i sustava za pretragu korpusa (CQS). Kao primjer dobre prakse detaljnije se opisuje mrežni rječnik elexiko (Institut za njemački jezik u Mannheimu): prikazuju se njegovi ciljevi i namjena, teorijske i metodološke postavke, moduli te mogućnosti uporabe. Kao moguća osnova za izradu korpusno utemeljenoga e-rječnika hrvatskoga jezika koji bi bio u skladu s najrecentnijim leksikografskim (i uopće lingvističkim) teorijama i praksama prikazuje se rad na mrežnome leksičko-semantičkome repozitoriju hrvatskoga jezika (baza semantičkih okvira, predodžbenih shema, kognitivnih primitiva i leksičkih jedinica) u okviru projekta Repozitorij metafora hrvatskoga jezika.
When formulating a request for an object, speakers can choose among different grammatical resources that would all serve the overall purpose. This paper examines the social contexts indexed and created by the choice of the turn format can I have x to request a shared good (the pepper grinder, a tissue from a box on the table, etc.) in British English informal interaction. The analysis is based on a video corpus of approximately 25 h of everyday interaction among family and friends. In its home environment, a request in the format can I have x treats the other as being in control over the relevant material object, a control that is the contingent outcome of ongoing courses of action. This contingent control over a shared good produces an obligation to make it available. This analysis is supported by an examination of similarly formatted request turns in other languages, of can I have x in another interactional environment (after a relevant offer has been made) in British English, and of deviant cases. The results highlight the intimate connection of request format selection to the present engagements of (prospective) request recipients.
Die öffentliche Akzeptanz und Wirkung natur- und technikwissenschaftlicher Forschung hängt grundlegend davon ab, ob sich die Ziele und Forschungsergebnisse an die Öffentlichkeit vermitteln lassen. Doch die Inhalte aktueller Forschungsvorhaben sind für ein Laienpublikum oft nur schwer zugänglich und verständlich. Vor dem Hintergrund, die gesellschaftliche Diskussion natur- und technikwissenschaftlicher Forschung zu verbessern, untersuchen und bewerten wir im Projekt PopSci – Understanding Science einen wichtigen Sektor des populärwissenschaftlichen Diskurses in Deutschland empirisch. Hierfür identifizieren wir die linguistischen Merkmale deutscher populärwissenschaftlicher Texte durch korpusbasierte Methoden und untersuchen deren Effekt auf die kognitive Verarbeitung der Texte durch Laien. Dazu setzen wir Vor- und Nachwissenstests ein. Außerdem messen wir die Blickbewegungen der Leserinnen und Leser, während sie populärwissenschaftliche Texte lesen. Aus dieser Kombination von unterschiedlichen Methoden versuchen wir, erste Empfehlungen zur Verbesserung des linguistischen Stils und der Wissensrepräsentation populärwissenschaftlicher Texte abzuleiten.
The present study introduces articulography, the measurement of the position of tongue and lips during speech, as a promising method to the study of dialect variation. By using generalized additive modeling to analyze articulatory trajectories, we are able to reliably detect aggregate group differences, while simultaneously taking into account the individual variation across dozens of speakers. Our results on the basis of Dutch dialect data show clear differences between the southern and the northern dialect with respect to tongue position, with a more frontal tongue position in the dialect from Ubbergen (in the southern half of the Netherlands) than in the dialect of Ter Apel (in the northern half of the Netherlands). Thus articulography appears to be a suitable tool to investigate structural differences in pronunciation at the dialect level.
In this article, we explore the feasibility of extracting suitable and unsuitable food items for particular health conditions from natural language text. We refer to this task as conditional healthiness classification. For that purpose, we annotate a corpus extracted from forum entries of a food-related website. We identify different relation types that hold between food items and health conditions going beyond a binary distinction of suitability and unsuitability and devise various supervised classifiers using different types of features. We examine the impact of different task-specific resources, such as a healthiness lexicon that lists the healthiness status of a food item and a sentiment lexicon. Moreover, we also consider task-specific linguistic features that disambiguate a context in which mentions of a food item and a health condition co-occur and compare them with standard features using bag of words, part-of-speech information and syntactic parses. We also investigate in how far individual food items and health conditions correlate with specific relation types and try to harness this information for classification.
This article reports on the on-going CoRoLa project, aiming at creating a reference corpus of contemporary Romanian (from 1945 onwards), opened for online free exploitation by researchers in linguistics and language processing, teachers of Romanian, students. We invest serious efforts in persuading large publishing houses and other owners of IPR on relevant language data to join us and contribute the project with selections of their text and speech repositories. The CoRoLa project is coordinated by two Computer Science institutes of the Romanian Academy, but enjoys cooperation of and consulting from professional linguists from other institutes of the Romanian Academy. We foresee a written component of the corpus of more than 500 million word forms, and a speech component of about 300 hours of recordings. The entire collection of texts (covering all functional styles of the language) will be pre-processed and annotated at several levels, and also documented with standardized metadata. The pre-processing includes cleaning the data and harmonising the diacritics, sentence splitting and tokenization. Annotation will include morpho-lexical tagging and lemmatization in the first stage, followed by syntactic, semantic and discourse annotation in a later stage.
To optimize the sharing and reuse of existing data, many funding organizations now require researchers to specify a management plan for research data. In such a plan, researchers are supposed to describe the entire life cycle of the research data they are going to produce, from data creation to formatting, interpretation, documentation, short-term storage, long-term archiving and data re-use. To support researchers with this task, we built DMPTY, a wizard that guides researchers through the essential aspects of managing data, elicits information from them, and finally, generates a document that can be further edited and linked to the original research proposal.
In a project called "A Library of a Billion Words" we needed an implementation of the CTS protocol that is capable of handling a text collection containing at least 1 billion words. Because the existing solutions did not work for this scale or were still in development I started an implementation of the CTS protocol using methods that MySQL provides. Last year we published a paper that introduced a prototype with the core functionalities without being compliant with the specifications of CTS (Tiepmar et al., 2013). The purpose of this paper is to describe and evaluate the MySQL based implementation now that it is fulfilling the specifications version 5.0 rc.1 and mark it as finished and ready to use. Further information, online instances of CTS for all described datasets and binaries can be accessed via the projects website.
In a previous article (Faaß et al., 2012), a first attempt was made at documenting and encoding morphemic units of two South African Bantu languages, i.e. Northern Sotho and Zulu, with the aim of describing and storing the morphemic units of these two languages in a single relational database, structured as a hierarchical ontology. As a follow-up, the current article describes the implementation of our part-of-speech ontology. We give a detailed description of the morphemes and categories contained in the database, highlighting the need and reasons for a flexible ontology which will provide for both language specific and general linguistic information. By giving a detailed account of the methodology for the population of the database, we provide linguists from other Bantu languages with a road map for extending the database to also include their languages of specialization.
We present a quantitative approach to disambiguating flat morphological analyses and producing more deeply structured analyses. Based on existing morphological segmentations, possible combinations of resulting word trees for the next level are filtered first by criteria of linguistic plausibility and then by weighting procedures based on the geometric mean. The frequencies for weighting are derived from three different sources (counts of morphs in a lexicon, counts of largest constituents in a lexicon, counts of token frequencies in a corpus) and can be used either to find the best analysis on the level of morphs or on the next higher constituent level. The evaluation shows that for this task corpus-based frequency counts are slightly superior to counts of lexical data.