- I believe that the Baltic Sea Strategy could increase the legitimacy of the entire EU.
- Jag tror att Östersjöstrategin kan bli ett legitimitetslyft för hela EU.
- The Lisbon Treaty strengthened cohesion policy and thus, it is in all our interests that the future cohesion policy stimulates the development potential of the entire EU, encourages greater competitiveness of the European economy, and improves the quality of our lives.
- Lissabonfördraget har stärkt sammanhållningspolitiken, och därmed är det i allas vårt intresse att den framtida sammanhållningspolitiken stimulerar utvecklingspotentialen hos hela EU, uppmuntrar till större konkurrenskraft för den europeiska ekonomin och förbättrar vår livskvalitet.
- In particular, by agreeing to establish a European Stability Mechanism and to make the linked Treaty change, we have demonstrated our total commitment to supporting the euro area and the Member States that use it for the benefit of the entire EU.
- Genom att komma överens om att upprätta en europeisk stabilitetspakt och göra tillhörande fördragsändring har vi framför allt visat att vi är fast beslutna att stödja euron och de medlemsstaterna som använder den på ett sätt som gynnar hela EU.
show query
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 8238 AND
t12.lemma_id = 6078 AND
t21.lemma_id = 8238 AND
t22.lemma_id = 28100),
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;
;