• He had used illegal labour - i.e. without social security status - with a salary which is not in conformity with national law or collective agreements and without a work permit.
• Han hade använt olaglig arbetskraft - dvs. utan socialförsäkringsstatus - med en lön som inte är förenlig med den nationella lagstiftningen eller med kollektivavtal, och utan arbetstillstånd.

• Like the previous speakers, Commissioner, I too would like to call on you to use the political dialogue with our partner Tunisia to enable the Tunisian League of Human Rights, the journalists’ association and also the judges’ association to resume their activities as quickly as possible and also to secure the immediate release of the lawyer Mohammed Abbou, who was sentenced in April in a trial marked by several irregularities.
• Som de föregående talarna vill även jag, herr kommissionsledamot, uppmana er att använda dialogen med vår partner Tunisien för att göra det möjligt för den tunisiska människorättsorganisationen LTDH, journalistförbundet och även domarnas förening att återuppta sin verksamhet så snabbt som möjligt och även att säkra ett omedelbart frigivande av advokaten Mohammed Abbou, som dömdes i april i en rättegång som på många sätt var bristfällig.

SET search_path TO f9miniensv;

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	list AS (SELECT
		         t11.token_id AS t11,
		         t12.token_id AS t12,
		         t21.token_id AS t21,
		         t22.token_id AS t22,
		         r1.dep_id AS dep1,
		         r2.dep_id AS dep2
		         FROM
			         deprel r1
			         JOIN depstr s1 ON s1.dep_id = r1.dep_id
			         JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
			         JOIN word_align a2 ON a2.wsource = r1.dependent
			         JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
			         JOIN depstr s2 ON s2.dep_id = r2.dep_id
			         JOIN token t11 ON t11.token_id = r1.head
			         JOIN token t21 ON t21.token_id = r2.head
			         JOIN token t12 ON t12.token_id = r1.dependent
			         JOIN token t22 ON t22.token_id = r2.dependent
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				         t21.ctag = 'VERB' AND
				         t12.ctag = 'ADP' AND
				         t22.ctag = 'ADP' AND
				         t11.lemma_id = 51062 AND
				         t12.lemma_id = 12425 AND
				         t21.lemma_id = 60207 AND
				         t22.lemma_id = 57357),
	stats AS (SELECT
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		          count(*) AS c_aligned,
		          count(DISTINCT wtarget) AS c_target
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			         token
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		         WHERE
				         sentence_id IN (
					                        SELECT sentence_id
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							                        list
							                        JOIN token ON token_id IN(t11, t21)
					                        )
		         GROUP BY sentence_id),
	numbered AS (SELECT row_number() OVER () AS i, *
		         FROM
			         list),
	sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
			                        .8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
		         FROM
			         (
				         SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
					         FROM
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						         JOIN token ON token_id = t11
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					         FROM
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			         JOIN stats USING (sentence_id)
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		w,
		c,
		c_aligned,
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		string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
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		           '' ORDER BY token_id ASC) AS s
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		JOIN typestr USING (type_id)
	GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
	ORDER BY w DESC, i, n;
;