- For the Union to cope with the difficult challenges in the global sphere, it must first reduce internal disparities, and this cannot be achieved without respecting the treaty’s principle of solidarity.
- För att unionen ska klara de svåra utmaningarna på den globala arenan måste den först minska sina interna skillnader och det kan vi endast göra om vi respekterar fördragets solidaritetsprincip.
- Mr President, Commissioner, ladies and gentlemen, the current economic and financial crisis that we are experiencing highlights the need for regional policy as the best means of reducing disparities in development between regions and Member States.
- Den ekonomiska och finansiella kris som vi upplever för närvarande belyser behovet av regionalpolitik som det bästa sättet att minska skillnader i utveckling mellan regioner och medlemsstater.
- Thirdly, cohesion must also be used to reduce the most serious economic and social disparities within a territory for the benefit of deprived urban areas or rural areas that are in difficulty or which receive very few services on account of structural handicaps, as is the case with islands, for example.
- Den tredje principen är att sammanhållningen också måste användas för att minska de allvarligaste ekonomiska och sociala skillnaderna inom ett territorium så att man gynnar utsatta storstadsområden eller landsbygdsområden i kris eller med dålig service på grund av strukturella hinder, vilket till exempel gäller öar.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 52274 AND
t12.lemma_id = 21319 AND
t21.lemma_id = 62146 AND
t22.lemma_id = 52386),
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;
;