- Member States need to strengthen their economies too, thereby creating opportunities.
- Medlemsstaterna måste också stärka sina ekonomier och därmed skapa möjligheter.
- It underlines the need for cooperation in strengthening the European economy.
- Låt mig först tacka föredraganden för detta betänkande, där behovet av samarbete för att stärka EU:s ekonomi betonas.
- However, effective gender equality policies can form part of the solution to the problem of how to get out of this crisis, support recovery and strengthen the economy.
- En effektiv jämställdhetspolitik kan dock vara en del av lösningen på hur vi ska kunna ta oss ur krisen, stödja återhämtningen och stärka ekonomin.
- We congratulate you on the fundamental direction of the work programme, which is aimed at making Europe more competitive, at consistent pursuit of the Lisbon Agenda and at completing the market as a means towards strengthening Europe’s economy - those are the right lines along which to go if Europe is to be made stronger and fitter for globalisation.
- Vi gratulerar er till den grundläggande inriktningen i arbetsprogrammet, vars målsättning är att göra Europa mer konkurrenskraftigt genom att kontinuerligt stabilisera Lissabonmålen och fullborda marknaden som ett medel att stärka Europas ekonomi.
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 = 46411 AND
t12.lemma_id = 54991 AND
t21.lemma_id = 44412 AND
t22.lemma_id = 42486),
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;
;