- We have voted in favour of the Liberals’ Amendment No 7, as it demands that MEPs’ allowances be tightened and only cover actual costs.
- Vi har röstat för ändringsförslag 7 från liberalerna, eftersom det kräver att ersättningarna till ledamöter av Europaparlamentet skall stramas åt och endast täcka verkliga kostnader.
- Madam President, the early decommissioning of nuclear reactors in the three EU candidate countries of Lithuania, Slovakia and Bulgaria prevented the creation of appropriate national funds to cover all the costs connected with decommissioning the plants, and Community assistance was therefore essential for coping with the substantial financial and economic burden.
- Den tidiga avvecklingen av kärnreaktorer i EU-kandidatländerna Litauen, Slovakien och Bulgarien förhindrade skapandet av lämpliga nationella fonder för att täcka alla kostnader i samband med avvecklingen av kärnkraftverken.
- As a result, however, it is clear and important that practical monopolies will be abolished since, by being opened up to everyone, the pipelines can be used by third parties, with adequate protection being given to the owner as he receives a payment which covers his costs, and since the long-term supply contracts are given adequate protection.
- Därmed är det också tydligt och viktigt, att de faktiska monopolen därigenom upphävs, att ledningarna kan användas av tredje part genom att de öppnas för alla, och att ägaren får ett tillräckligt egendomsskydd, som innebär att han får bidrag som täcker hans kostnader, och som också innebär att de långsiktiga leveransfördragen också får ett tillräckligt skydd.
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
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t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 62175 AND
t12.lemma_id = 63754 AND
t21.lemma_id = 60829 AND
t22.lemma_id = 23256),
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;
;