- We urgently need a clear definition of the concepts of information and consultation in EU law.
- Vi behöver snarast en klar definition av begreppen information och samråd i EU:s lagstiftning.
- Without a clearer definition of what is meant by this, the Green Group cannot support the report.
- Utan en klarare definition på vad detta innebär, kan Gruppen De Gröna inte stödja betänkandet.
- We also opposed the lack of any clear definition of (I quote the English term) ’conventional leghold restraining traps’ .
- Vi opponerade oss också mot bristen på klara definitioner om vad som är, och jag citerar på engelska, ”conventional leghold restraining traps”.
- What is at stake is not providing a clear definition of subsidiarity as a necessary dimension of European integration, but rather using it as a pretext to develop the EU, within the framework of the WTO, as a deregulated community in the face of the single market and the euro, introducing a system of dumping in which we will all be losers.
- Det handlar inte om ge en klar definition av subsidiariteten som nödvändig dimension av den europeiska integrationen, utan att åberopa sig på, inför den inre marknaden och införandet av euron utveckla EU som avregleringsgemenskap inom ramarna för WTO, att införa en dumping som alla förlorar på.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 33562 AND
t12.lemma_id = 34220 AND
t21.lemma_id = 33562 AND
t22.lemma_id = 32802),
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;
;