Suchergebnisse

To solve ecological problems the contribution of international organizations, national governments, civil organizations, companies,academic researchers, and individuals is required. The unsustainable buyer, consumer and user patterns have to be changed.Fortunately, nowadays there are more and more efforts on the part of consumers, according to the results of consumer researches ecologicalconsciousness of consumers is ascendant over the world. The ecologically conscious consumer segment persistently rises, andthis segment can be featured accurately not by demographic, but by psychographic variables. Individuals have several opportunitiesto lower own environment use, one form of it is proenvironmental purchasing behaviour (Buy eco-labelled products, organic food orenergy-efficient household appliances, refuse animal tested cosmetics, disposable products and plastic bags, etc.). According to ourresearch, the Hungarian population have positive general environmental attitudes and can be divided into five clusters: Neglectfultownspeople, Environment sensitive people, Distance-keeping inquirers, Doubters, and Responsibility-taking countrymen. Hungarianpeople are not environmentally conscious in their purchases. In demographics gender, age and education have a weak or possibly amedium, property status and residence has a strong, significant influence. Positive attitudes increase while negative attitudes decreasethe possibilities of such activities. ; To solve ecological problems the contribution of international organizations, national governments, civil organizations, companies,academic researchers, and individuals is required. The unsustainable buyer, consumer and user patterns have to be changed.Fortunately, nowadays there are more and more efforts on the part of consumers, according to the results of consumer researches ecologicalconsciousness of consumers is ascendant over the world. The ecologically conscious consumer segment persistently rises, andthis segment can be featured accurately not by demographic, but by psychographic variables. Individuals have several opportunitiesto lower own environment use, one form of it is proenvironmental purchasing behaviour (Buy eco-labelled products, organic food orenergy-efficient household appliances, refuse animal tested cosmetics, disposable products and plastic bags, etc.). According to ourresearch, the Hungarian population have positive general environmental attitudes and can be divided into five clusters: Neglectfultownspeople, Environment sensitive people, Distance-keeping inquirers, Doubters, and Responsibility-taking countrymen. Hungarianpeople are not environmentally conscious in their purchases. In demographics gender, age and education have a weak or possibly amedium, property status and residence has a strong, significant influence. Positive attitudes increase while negative attitudes decreasethe possibilities of such activities.

The aim of our study is to reveal the relationship between doing sports and persistence among higher education students in the Northern Great Plain Region of Hungary and especially among Hungarian minority students in Romania, Slovakia, Serbia and the Ukraine. The theoretical background of the research is based on the developmental model (Brohm, 2002; Miller, Marchant, Polman, Clough, Jackson, Levy, & Nicholls, 2009; Melnick, Barnes, Farrel,l & Sabo, 2007) as well as Tinto's (1975) and Pascarella and Terenzini's (1980) institutional integration model. For the analyses, we used the database of the Center for Higher Education Research and Development (CHERD-H), which includes the higher education institutions in the border regions of the five countries under investigation (Hungary, Slovakia, the Ukraine, Romania and Serbia) (IESA 2015, N=2,017). According to our results, despite of the integration model theory, university sports membership decreases the level of persistence regardless of gender, country and social background. However, comparative analyses show that non-university sports club membership conveys values like appreciating the usefulness of learning and commitment to successfully complete exams and learning requirements. University and non-university sports club members mostly agree that they want to achieve the best possible learning outcomes.

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1405.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1431.

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1388. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (from November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1432. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.1 release of the data and scripts available at the GitHub repository of the ParlaMint project. As opposed to the previous version 2.0, this version corrects some errors in various corpora and adds the information on upper / lower house for bicameral parliaments. The vertical files have also been changed to make them easier to use in the concordancers.