- When the EU is struggling with a once in a lifetime deep recession, it is just not appropriate to shield ourselves and our own administration from the negative consequences.
- Det är helt enkelt inte lämpligt att skydda oss själva och vår administration från negativa följder i en tid då EU kämpar med den värsta lågkonjunktur som vi kommer att uppleva under vår livstid.
- Last week, I had the opportunity of heading a European Parliament delegation to Romania and we were able to see how they were struggling with this and what kind of difficulties they were up against.
- I förra veckan hade jag tillfälle att leda en delegation från Europaparlamentet till Rumänien, där vi kunde se hur de kämpar med detta och vilka svårigheter de möter.
- However, we must not overlook the fact that there are other regions which have to struggle with specific problems, such as Nordic regions, dry areas and places with various other types of natural disadvantage.
- Men man får inte bortse från att det även finns andra områden där man har speciella problem att kämpa med, så som de nordiska områdena, områden med torka och andra missgynnade områden.
- Finally, one of my disappointments at Durban was that with the spotlight on international diplomacy rather than domestic records, the European Union struggled to find the space to highlight its own growing and increasingly solid record in tackling racism.
- En av mina besvikelser i Durban var slutligen att med betoningen på internationell diplomati, snarare än på inhemska förhållanden i det förflutna, kämpade Europeiska unionen för att finna ett utrymme för att betona sina egna växande och allt starkare förtjänster när det gäller att bekämpa rasism.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 60245 AND
t12.lemma_id = 12425 AND
t21.lemma_id = 27997 AND
t22.lemma_id = 57357),
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;
;