- Considering the urgent nature of organ removal, once a potential donor is identified it would be extremely useful if we had a standard European card that could be read and understood by everyone.
- Med tanke på att ett borttagande av ett organ är av brådskande natur vore det synnerligen fördelaktigt om vi, när väl en donator identifierats, hade ett allmänt erkänt europeiskt kort som kunde läsas och förstås av alla.
- It is essential that, when we pass laws, there is a definite basis in fact that can be understood by each and every individual, whether a practitioner, a business person, a government official or the individual citizen.
- Det är viktigt att det, när vi antar lagar, föreligger en reell faktabasis som kan förstås av varenda person, vare sig det är en praktiserande jurist, en affärsman, en regeringstjänsteman eller en enskild medborgare.
- Europe was made for just such a programme, and in these times of globalisation, when our citizens have the impression, the feeling that all the real decisions are made somewhere else, and particularly in the world of finance, it is important to revive the idea of a plan for Europe which is understood by the citizens and defended by the institutions.
- Europa har utformats för att innehålla ett projekt och i dessa tider av internationalisering där medborgarna har intrycket, känslan, av att alla verkliga beslut fattas någon annanstans, det gäller särskilt finansvärlden, är det viktigt att återupprätta idén om ett projekt för Europa som förstås av medborgarna och försvaras av institutionerna.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 55304 AND
t12.lemma_id = 6140 AND
t21.lemma_id = 44136 AND
t22.lemma_id = 3216),
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;
;