- I believe that we must take steps, not just within the European Union, but beyond its borders, to reduce the use of and demand for drugs, using strict preventative measures to combat phenomena associated with the drug market.
- Jag anser att vi måste vidta åtgärder, inte bara inom EU utan också utanför dess gränser, för att minska användningen av och efterfrågan på narkotika, och använda bestämda förebyggande åtgärder för att bekämpa företeelser som hör samman med narkotikamarknaden.
- It is crucial that we resume discussions on the draft framework decision on racism and xenophobia, because we will only be able to combat these phenomena effectively and consistently throughout EU territory if we adopt an integrated approach that involves both preventative and punitive measures.
- Det är absolut nödvändigt att vi återupptar diskussionerna om utkastet till rambeslut om rasism och främlingsfientlighet, eftersom vi bara kommer att kunna bekämpa dessa företeelser effektivt och konsekvent inom hela EU under förutsättning att vi har ett integrerat förhållningssätt som både arbetar förebyggande och bestraffar överträdelser.
- This is essential when it comes to combating the phenomenon of the so-called new mafias, namely criminal organisations made up of individuals of different nationalities, who establish the centre of their criminal interests, and therefore their habitual residence, in a country of the European Union.
- Detta är viktigt för att kunna bekämpa företeelsen med den så kallade nya maffian, dvs. kriminella organisationer som består av individer av olika nationaliteter, som inrättar centrumet för sina kriminella intressen, och följaktligen sin vanliga vistelseort, i ett EU-land.
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
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 23922 AND
t12.lemma_id = 53735 AND
t21.lemma_id = 25868 AND
t22.lemma_id = 45257),
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;
;