- There are real threats to free trade and to the fundamental principles of free and open competition that must underpin the European Union.
- Det finns verkliga hot mot den fria handeln och mot de grundläggande principerna om fri och öppen konkurrens som EU måste bygga på.
- I wish the European public could understand - and one day they will - that the real threat to their rights comes not from this Parliament or the Commission - the Community institutions - but from the arrogant, executive powers wielded in intergovernmental cabal by the Council.
- Jag önskar att den europeiska allmänheten kunde förstå - och en dag kommer de att göra det - att det verkliga hotet mot deras rättigheter inte kommer från detta parlament eller från kommissionen - gemenskapsinstitutionerna - utan från de utmanande verkställande befogenheter som utövas av rådet i ränksmiderier mellan regeringarna.
- We have been informed that experts in various fields are intensively searching for solutions and technologies that will make it easier to detect a real threat, and in that way ease the transport of liquids, sprays, gels and similar articles in civilian air passengers’ hand luggage.
- Vi har fått information om att experter inom olika områden intensivt söker efter lösningar och teknik som ska göra det lättare att upptäcka ett verkligt hot och på så sätt underlätta transport av vätskor, sprejer, geler och liknande i civila flygpassagerares handbagage.
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 = 44393 AND
t12.lemma_id = 61625 AND
t21.lemma_id = 544 AND
t22.lemma_id = 61547),
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;
;