- In this internal dialogue, and also in any opening-up of the EU to the rest of the world through economic, social and environmental policies and those on security, viable development and immigration, the European Commission must promote and strengthen the EU’s cultural ethos.
- I denna interna dialog, liksom alltid i samband med öppnande av EU mot omvärlden genom ekonomisk och social politik, miljöpolitik och politik gällande säkerhet, hållbar utveckling och invandring, måste Europeiska kommissionen främja och stärka EU:s etiska normer på det kulturella området.
- Firstly that, despite all the tragedy, we continue with our efforts towards peace, and secondly, increase the internal dialogue in this House in order to ensure that the positions of the European Parliament are the result of a broad consensus, because that is the only way, through unity, that Parliament’s voice can be heard and that it can contribute to the peace process we all want to see.
- För det första att vi trots svårigheterna fortsätter våra fredsansträngningar, och för det andra att den interna dialogen i parlamentet intensifieras så att vi kan försäkra oss om att Europaparlamentets ståndpunkter är resultatet av en bred enighet, eftersom det endast är på det sättet, i enighet, som parlamentet kan göra sin röst hörd och bidra till den fredsprocess som vi alla vill ha.
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 = 22144 AND
t12.lemma_id = 58380 AND
t21.lemma_id = 56387 AND
t22.lemma_id = 51573),
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;
;