- This important public-health measure has since been adopted in many towns and regions in other European states.
- Den här viktiga åtgärden till förmån för folkhälsan har även införts i många städer och regioner i andra europeiska stater.
- As far as the findings of these reports are concerned, I can well understand why Parliament is becoming impatient as it awaits the results of these important measures.
- Vad resultaten av detta betänkande beträffar, förstår jag att parlamentet otåligt väntar på resultaten av dessa viktiga åtgärder.
- It contains a number of important measures which also demonstrate that legislation in the European countries has not got the measure of the foul nature of crimes against children.
- Det innehåller ett antal viktiga åtgärder som bl.a. visar att lagstiftningen i de europeiska länderna inte omfattar den vedervärdiga aspekten med brott som begås mot barn.
- In reply to the report’s exhortations to the Commission, I would also like to mention two important measures which have been taken and will help to ensure that the principle of the free movement of persons becomes a reality.
- För att svara på de uppmaningar som rapporten ger till kommissionen vill jag också nämna två andra viktiga åtgärder som tagits fram och skall bidra till att principen om fri rörlighet för personer förverkligas.
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 = 2730 AND
t12.lemma_id = 36766 AND
t21.lemma_id = 59310 AND
t22.lemma_id = 14863),
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
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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;
;