- I believe that we have a specific mission in this regard, and I shall address my remarks more particularly to those, including Mr Turmes, who have expressed concerns about this matter.
- Jag anser att vi har ett specifikt uppdrag i det avseendet och riktar mina kommentarer särskilt till dem, bland annat Claude Turmes, som har uttryckt oro i den här frågan.
- a catalyst to help our societies and economies transform, so that they can rise to the two crucial challenges of our time, which are not only to learn to live within the physical limits of our planet - that is, of course, the climate issue and that of the exhaustion of resources - but also to rise to this growing challenge of social cohesion, both within the European Union and on the planet as a whole, since you have a significant mission in the area of development.
- en katalysator som hjälper våra samhällen och ekonomier att förändras, så att de kan möta de två avgörande utmaningarna i vår tid. Dessa är inte bara att lära sig leva inom vår planets fysiska begränsningar - både när det gäller klimatfrågan och när det gäller utarmningen av resurser - utan även att möta den allt större utmaningen med social sammanhållning både inom Europeiska unionen och på planeten som helhet, eftersom ni har ett viktigt uppdrag på utvecklingsområdet.
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
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t22.ctag = 'NOUN' AND
t11.lemma_id = 48540 AND
t12.lemma_id = 1226 AND
t21.lemma_id = 54893 AND
t22.lemma_id = 12487),
stats AS (SELECT
sentence_id,
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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
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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' ||
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'' ORDER BY token_id ASC) AS s
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sentences
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JOIN typestr USING (type_id)
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ORDER BY w DESC, i, n;
;