- I remember how, at the outset, we were all falling over ourselves to improve the system of student mobility in Europe.
- Jag kommer ihåg i början hur vi alla försökte överträffa varandra i att förbättra systemet med studenters rörlighet i Europa.
- I voted today in favour of the joint resolution on international adoption in the EU, the aim of which is to improve the adoption system between Member States and establish guarantees to ensure that adoption is carried out in the interests of the child, with absolute respect for its fundamental rights.
- Jag röstade i dag för den gemensamma resolutionen om internationella adoptioner i EU, vars syfte är att förbättra systemet för adoptioner mellan medlemsstaterna och fastställa garantier för att se till att adoptionen genomförs i barnets intresse med absolut respekt för dess grundläggande rättigheter.
- We are pleased to note that, in a quantum leap of realism, the Committee on Economic and Monetary Affairs and Industrial Policy of the European Parliament considered as ’untimely’ the introduction of this new system and urged the Commission to put all its energy into improving the existing system.
- Det gläder oss att utskottet för ekonomi, valutafrågor och industripolitik i ett anfall av realism anser att det ”inte är lämpligt ” att införa det nya systemet och ”uppmanar kommissionen att lägga ner all sin energi på att förbättra det nuvarande systemet ”.
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 = 34382 AND
t12.lemma_id = 38507 AND
t21.lemma_id = 57806 AND
t22.lemma_id = 38507),
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;
;