- The communication which the European Commission approved on 10 October entitled ‘The repercussions of the terrorist attacks in the United States on the air transport industry’ is an initial reaction to this extraordinary situation and therefore focuses on restoring confidence by planning additional safety measures, coupled with economic measures to support the industry.
- Det meddelande som Europeiska kommissionen antog den 10 oktober under rubriken ”Följderna av terrorattackerna i Amerikas förenta stater för flygtransportbranschen” är den första reaktionen på den extraordinära situationen, och följaktligen inriktar sig meddelandet framför allt på att återskapa förtroendet genom planering av ytterligare säkerhetsåtgärder men också på att vidta ekonomiska åtgärder för att stödja flygbranschen.
- The last few months have also highlighted the fact that protection of our common values, non-discrimination and human rights also need protection and resources, that we need to simplify the use of resources for the management of extraordinary situations, and that we need our own resources to create a better, stronger and more extensive Europe in the coming period.
- De senaste månaderna har det också blivit tydligt att försvaret av våra gemensamma värderingar, icke-diskriminering och mänskliga rättigheter också behöver skydd och resurser, och att vi måste förenkla utnyttjandet av medel för hantering av extraordinära situationer, samt att vi behöver egna medel för att skapa ett bättre, starkare och mer omfattande EU under den kommande perioden.
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 = 12815 AND
t12.lemma_id = 34526 AND
t21.lemma_id = 12815 AND
t22.lemma_id = 23715),
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;
;