- This will prevent unnecessary inspections, increase the effectiveness of monitoring and reduce the red tape for those subject to inspections.
- Detta motverkar onödiga kontroller, effektiviserar tillsynen och minskar byråkratin för dem som ska kontrolleras.
- Although only one per cent of the total ERDF budget was available for innovative measures in the period from 1994 to 1999, the Commission has now reduced the funding for the years 2000 to 2006 in what can reasonably be called a drastic and intolerable manner.
- Trots att endast 1 procent av ERUF:s sammanlagda budget stod till förfogande för innovativa åtgärder under tidsperioden 1994 till 1999, har kommissionen minskat medlen för tidsperioden 2000 till 2006 radikalt på vad man kan kalla ett omöjligt vis.
- We have reduced our budget for 2010 by EUR 6.5 million compared with the Bureau’s initial estimates and, if we look at the overall figures compared with last year’s budget, we can see that, despite all the new demands implied by the new rules for parliamentarians and parliamentary assistants, we have what I consider to be an exceptionally reasonable increase of well below 4%.
- Vi har minskat vår budget för 2010 med 6,5 miljoner euro jämfört med presidiets ursprungliga beräkningar, och om vi jämför de övergripande siffrorna med förra årets budget ser vi att trots alla de nya krav som de nya bestämmelserna för parlamentariker och parlamentsassistenter medför så har vi vad jag betraktar som en mycket rimlig ökning på en bra bit under 4 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 = 52274 AND
t12.lemma_id = 36421 AND
t21.lemma_id = 62146 AND
t22.lemma_id = 64468),
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;
;