- This programme is to be financed from the EUR 33 million in the 8th EDF second tranche.
- Detta program kommer att finansieras ur de 33 miljonerna euro i den åttonde europeiska utvecklingsfondens andra grupp.
- Trust that has been painstakingly built up and successes that have been wrung from a vast number of joint talks on the development of projects are all in vain if the projects cannot be financed from one fund.
- Förtroendefulla relationer, uppbyggda med möda, framgångar från oändligt många gemensamma samtal om utveckling av projekt går om intet på grund av omöjligheten att finansiera dessa projekt ur en enda fond.
- Direct aid must be financed entirely from the Union budget, and the CAP needs to have a budgetary allocation adequate for facing the new challenges and objectives ahead of it, at a level at least equal to that for 2013, as further cuts could compromise its effectiveness.
- Direktstödet måste finansieras helt ur unionens budget, och den gemensamma jordbrukspolitiken måste ha ett budgetanslag som är tillräckligt för att möta de nya utmaningar och mål den står inför, på en nivå som minst motsvarar 2013 års nivå, eftersom ytterligare nedskärningar kan äventyra dess effektivitet.
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 = 25908 AND
t12.lemma_id = 15442 AND
t21.lemma_id = 3435 AND
t22.lemma_id = 48626),
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;
;