- anti to say that the reforms with regard to qualified majority and the role of smaller states go too far;
- nej med motiveringen att det inte är nödvändigt att säga ”ja” till Nicefördraget för utvidgningen, nej med motiveringen att reformerna i fråga om kvalificerad majoritet och de mindre staternas roll är för långtgående och nej i protest mot den så kallade militariseringen av EU.
- There are plenty of criticisms to make of Nice with regard to qualified majority and the role of smaller states, but for people who are fair-minded and rational, none of the criticisms should be that it went too far.
- Man kan kritisera Nicefördraget för mycket när det gäller kvalificerad majoritet och de mindre staternas roll, men människor som är ärliga och rationella kan knappast kritisera fördraget för att det gick för långt.
- It may not be the model which suits every Member State, but it has clear advantages in a small state where certain economies of scale are required in order to deliver the lowest cost and the most efficient production to end-users.
- Det kanske inte är en modell som passar alla medlemsstater, men den är helt klart fördelaktig i en liten stat där viss stordrift krävs för att kunna erbjuda slutanvändaren det lägsta priset och den mest effektiva produktionen.
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
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s1.val = 'amod' AND
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t11.ctag = 'NOUN' AND
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t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 17513 AND
t12.lemma_id = 62425 AND
t21.lemma_id = 54759 AND
t22.lemma_id = 9634),
stats AS (SELECT
sentence_id,
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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
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JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;