- Assistance in mitigating the consequences of disasters should be an important element in EU foreign policy.
- Stöd till att mildra konsekvenserna av katastrofer bör vara en viktig beståndsdel i EU:s utrikespolitik.
- Commission de Silguy defended monetary policy not being an element of the policy mix, while Commissioner Monti referred to monetary policy as an important element of the policy mix.
- Kommissionär de Silguy försvarade penningpolitiken genom att säga att den inte är en del av dess ”policy mix”, medan kommissionär Monti hänvisade till penningpolitiken som en viktig beståndsdel i denna ”policy mix”.
- Last but not least, in trying to prepare for the upgrading of the EU’s political and economic relations with all the countries in the western Balkans via stabilisation and association agreements, as an important element and pillar of the stability pact of which the presidency has spoken, aiming at security, democracy and economic development, with, at the same time, the further perspective of joining the European and Euro-Atlantic structures.
- Sist men inte minst viktigt, i strävandena för en förnyelse av EU:s politiska och ekonomiska förbindelser med samtliga länder i västra Balkan genom stabiliserings- och associeringsavtal, som en viktig beståndsdel och pelare i den stabilititetspakt om vilken ordförandeskapet har talat, som syftar till säkerhet, demokrati och ekonomisk utveckling med, på samma gång, det längre fram liggande perspektivet med en sammankoppling av de europeiska och euro-atlantiska strukturerna.
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 = 55145 AND
t12.lemma_id = 36766 AND
t21.lemma_id = 34853 AND
t22.lemma_id = 14863),
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;
;