- In its present form, the proposal is not about combating organised crime.
- Förslaget handlar inte, i dess nuvarande form, om att bekämpa organiserad brottslighet.
- Large common registers of personal details are being established for refugees and for the purpose of combating crime.
- Stora gemensamma personregister byggs upp för flyktingar och för att bekämpa brottslighet.
- Clearer procedures for the exchange of information in criminal proceedings will enhance cooperation between Member States and improve individual nations’ abilities to combat crime.
- Tydligare förfaranden för utbyte av information i straffrättsliga förfaranden kommer att förbättra samarbetet mellan medlemsstater och förbättra individuella nationers förmåga att bekämpa brottslighet.
- A large number of unresolved issues remain, including the definition of the powers held by the Chechen Republic and the Russian Federation, the provision of compensation to those who have lost property and the adoption of measures for combating crime, including the crimes committed by the Federal Forces.
- Det finns ett stort antal olösta frågor, till exempel avgränsningen av maktbefogenheter mellan Republiken Tjetjenien och Ryska federationen, ersättningen till dem som förlorat sina tillhörigheter, åtgärderna för att bekämpa brottsligheten, inklusive de brott som begicks av de federala styrkorna.
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 = 56531 AND
t21.lemma_id = 25868 AND
t22.lemma_id = 21909),
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;
;