- There will be financial support for this, from the European Refugee Fund in particular.
- Det kommer att finnas ekonomiskt stöd för detta, framför allt från Europeiska flyktingfonden.
- We have rapidly identified EUR 25 million which could be mobilised under the External Borders Fund and European Refugee Fund if and when specific requests are made by the Member States.
- Vi har snabbt identifierat 25 miljoner euro som skulle kunna användas inom ramen för fonden för yttre gränser och Europeiska flyktingfonden om och när medlemsstaterna gör särskilda ansökningar.
- Obviously the Union should assist countries with heavy economic burdens, but we do not approve when it says that ’all aspects of refugee policy’ should be financed out of the European refugee fund.
- Självklart skall unionen kunna stödja de stater som har en tung ekonomisk belastning, men vi gillar inte formuleringar som att ”samtliga aspekter av flyktingpolitiken” skall finansieras genom den europeiska flyktingfonden.
- For example, the budget for the European Refugee Fund which, among other things, is promoting the resettlement of asylum seekers in the EU, is being increased, while the funding for the European Agency for the Management of Operational Cooperation at the External Borders (Frontex) is being cut.
- Bland annat ökas anslagen till Europeiska flyktingfonden, vars syfte bland annat är att främja asylsökandes bosättning i EU, samtidigt som anslagen till Europeiska byrån för förvaltningen av det operativa samarbetet vid Europeiska unionens medlemsstaters yttre gränser (Frontex) skärs ned.
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 = 55821 AND
t12.lemma_id = 21311 AND
t21.lemma_id = 16906 AND
t22.lemma_id = 11582),
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;
;