• The European Union’s economic policy should no longer be limited to competition policy, nor should its monetary policy be aligned with the demands of the financial markets alone.
• Unionens ekonomiska politik bör inte längre begränsas till konkurrenspolitiken, och penningpolitiken bör inte begränsas till att enbart anpassas till kraven från finansmarknaderna.

• In view of this, it is important to amend certain provisions of Regulation (EC) No 1889/2006 in order to align them with the provisions of other instruments pertaining to the aforementioned regulatory framework.
• Därför är det viktigt att ändra vissa bestämmelser i förordning (EG) nr 1889/2006 i syfte att anpassa den till de övriga instrumenten som ingår i ovannämnda regelverk.

• Although the cohesion policy’s priorities should be aligned with the EU 2020 objectives, I think that there should be sufficient flexibility to be able to take into account specific regional features and to support weaker regions with greater needs, so that the latter can overcome socio-economic difficulties and natural handicaps, and so that disparities can be reduced.
• Även om sammanhållningspolitikens prioriteringar bör anpassas till EU 2020-målen anser jag att det måste finnas tillräcklig flexibilitet för att beakta regionala särdrag och stödja svagare regioner med större behov, så att dessa kan komma till rätta med samhällsekonomiska svårigheter och naturbetingade handikapp, och så att skillnaderna kan minskas.

SET search_path TO f9miniensv;

WITH
	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
		         WHERE
				         s1.val = 'prep' AND
				         t11.ctag = 'VERB' AND
				         t21.ctag = 'VERB' AND
				         t12.ctag = 'ADP' AND
				         t22.ctag = 'ADP' AND
				         t11.lemma_id = 37766 AND
				         t12.lemma_id = 12425 AND
				         t21.lemma_id = 19692 AND
				         t22.lemma_id = 31946),
	stats AS (SELECT
		          sentence_id,
		          count(DISTINCT token_id) AS c,
		          count(*) AS c_aligned,
		          count(DISTINCT wtarget) AS c_target
		         FROM
			         token
			         LEFT JOIN word_align ON wsource = token_id
		         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
				         UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
					         FROM
						         numbered
						         JOIN token ON token_id = t21
				         ) x
			         JOIN stats USING (sentence_id)
		         ORDER BY i, n)
	SELECT
		i,
		n,
		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
	FROM
		sentences
		JOIN token USING (sentence_id)
		JOIN typestr USING (type_id)
	GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
	ORDER BY w DESC, i, n;
;