- I am acting on the basis of the information received from DG II.
- Jag agerar på grundval av information från GD II.
- I strongly support this report as another step in the building of real European political parties which can act on a pan-European basis.
- Jag stöder helhjärtat detta betänkande som utgör ytterligare ett steg mot skapandet av verkliga europeiska politiska partier som kan agera på alleuropeisk basis.
- You will appreciate that the Commission cannot act on the basis of assumptions, suspicions or some book or article, but we have the responsibility to do something when we are sure that something needs to be done.
- Ni måste förstå att kommissionen inte kan agera på grundval av förmodanden, misstankar eller några som helst böcker och skriftliga yttranden, utan vi har ansvaret för att någonting görs när vi säkert vet att något skall göras.
- For example, the World Bank calculates that if we fail to act on the issue of climate protection, there will be a 1% - 2% drop in GDP in the industrialised countries in the coming years as a result of climate change, but a 10% fall in GDP in the developing countries.
- Världsbanken räknar t.ex. ut för oss, att BNP kommer att minska med 1-2 procent de kommande åren p.g.a. klimatkatastrofer till följd av att vi inte agerar på klimatskyddets område, men att motsvarande minskning i u-länderna kommer att uppgå till 10 procent.
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 = 43669 AND
t12.lemma_id = 11075 AND
t21.lemma_id = 54445 AND
t22.lemma_id = 40192),
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;
;