• I am therefore extremely pleased at our being able, tomorrow, to adopt a directive that gives workers better protection than that which they have at present.
• Jag är därför ytterst nöjd med att vi i morgon kan anta ett direktiv som ger arbetstagarna ett bättre skydd än de har i dag.

• This week, at the Committee on the Internal Market and Consumer Protection, we had an initial exchange of views regarding the report concerning names of textile products and related labelling, for which I am the rapporteur.
• Denna vecka hade vi i utskottet för den inre marknaden och konsumentskydd en inledande diskussion om betänkandet gällande benämningar på och märkning av textilprodukter, som jag är föredragande för.

• I would just like to say to you, Mr President, for the next two and a half years, despite the travails that we have brought against you and even though rough winds will blow on your face, you should always realise that you have the support of this House at your back.
• Jag skulle bara vilja säga er att under de närmaste två och ett halvt åren, trots den möda som vi har orsakat er och även om hårda vindar kommer att blåsa runt er, bör ni alltid inse att ni har kammarens stöd i ryggen.

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 = 48540 AND
				         t12.lemma_id = 38254 AND
				         t21.lemma_id = 54893 AND
				         t22.lemma_id = 26495),
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		          count(*) AS c_aligned,
		          count(DISTINCT wtarget) AS c_target
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		         WHERE
				         sentence_id IN (
					                        SELECT sentence_id
						                        FROM
							                        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
						         numbered
						         JOIN token ON token_id = t11
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					         FROM
						         numbered
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			         JOIN stats USING (sentence_id)
		         ORDER BY i, n)
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		w,
		c,
		c_aligned,
		c_target,
		sentence_id,
		string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
			           CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
		           '' 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;
;