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After years of political crises and negotiations, the deep-rooted conflict between Dutch- and French-speaking parties recently led to the 2011 agreement concerning a further reform of the Belgian state. This reform mainly furthers decentralises the – already federal – state structure, including the allocation of additional competences and fiscal powers to sub-national entities (Regions and Communities). But this new state reform also brings about a radical reform of the upper house: the Belgian Senate. Since 1995, the Senate was composed of three different types of members: Senators directly elected by two linguistically separated electorate (the Dutch-speaking and the French-speaking electorates), Senators indirectly elected by the Community parliaments and Senators coopted by the two other types. The French- and German-speaking linguistic minorities had a fixed amount of seats in this assembly. The reform of the state radically changed the legislative competences of the Senate and its composition as its members will now be designated by Regional and Community parliaments (plus 10 coopted senators). Broadly speaking, the appointment of the majority of the Senators moved from a system of direct and language-based election to a system of indirect and mixed regional and language-based designation. This change is not without consequence for the representation of linguistic minorities. In May 2014, regional, community and federal elections will be organised in Belgium, testing for the first time this new system of designation of Senators by regional and community parliaments. This paper intends to present the 2013 reform of the Senate in Belgium and its consequence for the representation of linguistic minorities. The situations before and after the reform of the Senate will be compared, not only in terms of the way Senators are appointed but in terms of its consequence on the linguistic aspects of the regional and community elections campaign and of the profile of the appointed Senators.

Political parties are often conceptualized as unitary actors that have consistent preferences. This 'hidden assumption' often turns out to overlook heterogeneity within parties and, therefore, intra-party dynamics in explaining attitudes. Concerning devolution and federalisation, parties or MP's belonging to the same region are also often implicitly considered as having homogeneous viewpoints and attitudes. Relying on an original MPs survey carried out during the Belgian political gridlock of 2010-2011, this article uncovers some of the key dimensions of the intra-party dynamics through the analysis of MPs' preferences towards institutional reform in Belgium. Far from being explained by party or community lines, our results demonstrate how MPs' political and sociological background, national/regional identity, political career and inter-community relations strongly shape their preferences.

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.

This chapter explains the sociolinguistic differences between the two regions are important and have led to significantly contrasting language policies a contrast that can be observed at the level of specific political measures set up in each case, and also at the level of principles underlying state action regarding linguistic matters. Conversely, in Belgium, French has never been a low-status language, predominant in low-paid jobs, socially stigmatised as a patois or as a mixture of English and French typical of uneducated people as it was in Quebec from the end of the eighteenth century onwards. Progressively, the Flemish movement demanded political autonomy for cultural political matters, while the Walloon regionalist movement was interested in obtaining more autonomy in economic matters in times when Wallonia was still the most prosperous region of the country. The importance of French in the website presentations of each region for foreigners is very indicative of the role language plays in Quebec and in Wallonia.

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.

In October-November 2010, more than 5000 Belgian students from both side of the linguistic border have been asked to "draw Belgium" – no other guidelines were given. In addition to this rather unusual question, the students were surveyed on their political interest, political knowledge, identities, political perceptions and preferences as well as their attitudes towards Belgium and her future. The drawings show that half of the students drew Belgium with the language border and half did not. What explains this difference is not the language one speaks (so there was no difference between Dutch-speakers and French-speakers) but the level of political knowledge and the identity of the respondents (students who feel Belgian only draw Belgium without the language border and students who feel Flemish only are more likely to draw the language border). One further dimension needs to be explored (when applicable): the size of Flanders and of Wallonia. Does the size tell us anything about the political attitudes of the students towards Belgium? Does it relate anyhow to their identities? Or is rather a matter of political knowledge? Or is it even simply due to the shape of Belgium where Wallonia – the largest in size – region is more easily cut down when quickly drawn? Above all, with this research we can indirectly explore the processes – of socialization – behind the formation of political preferences and more specifically how socio-demographics, political knowledge, political interest, voting behaviour interact with the students' representations and attitudes vis-à-vis their country and its future.