- Illegal material involving child abuse should be removed from the Internet at source and websites should be blocked by providers.
- Illegalt material som omfattar övergrepp på barn bör tas bort från Internet vid källan, och webbplatser bör blockeras av leverantörer.
- At the moment, for example, there is talk of a procedure according to which the Commission’s proposals could be blocked by a simple consultation with business sectors.
- För närvarande diskuteras till exempel ett förfarande som kan leda till att kommissionens förslag skulle kunna blockeras av en enkel rådfrågning av sektorns företag.
- In practice, such an approach proved ineffective and led to situations in which certain disputes remained unresolved, as they could easily be blocked by the ’injuring’ party.
- Detta har visat sig vara ett opraktiskt sätt att gå tillväga och har lett till situationer där tvister förblivit olösta eftersom varje försök till lösning har kunnat blockeras av den ”svarande” parten.
- For this reason, it is urgent to resume discussions on the proposals for a directive on cross-border enforcement, which received the full support of the European Parliament, but was blocked by the Council.
- Diskussionerna om det förslag till direktiv om genomdrivande av lagar över nationsgränserna som fullt ut stöddes av parlamentet men blockerades av rådet bör därför skyndsamt återupptas.
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 = 48074 AND
t12.lemma_id = 6140 AND
t21.lemma_id = 21950 AND
t22.lemma_id = 3216),
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;
;