- I voted in favour of the report by Mrs Krehl because it highlights best practices in several areas, including in the area of the environment and sustainable energy.
- Jag röstade för Constanze Angela Krehls betänkande därför att hon belyser bästa praxis inom flera områden, bland annat inom miljöområdet och området för hållbar energi.
- That is, moreover, why, a few months ago, we presented a Green Paper on sustainable energy, and we were very pleased with the support given by the European Council to the idea of a common approach to energy matters.
- Därför lade vi dessutom fram en grönbok om hållbar energi för ett par månader sedan och det gladde oss att Europeiska rådet stödde idén om en gemensam strategi i energifrågor.
- In this context the post-2013 CAP must inevitably integrate this ’climate’ dimension by providing solutions and assistance to reduce greenhouse gas emissions, by encouraging carbon storage in the ground, by developing the production of sustainable renewable energies and by maximising the function of photosynthesis.
- Klimatdimensionen måste därför införlivas i den gemensamma jordbrukspolitiken genom att lösningar och hjälp för att minska växthusgasutsläppen tillhandahålls, koldioxidlagring i marken främjas, produktionen av hållbar förnybar energi utvecklas och fotosyntesens funktion maximeras.
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 = 20858 AND
t12.lemma_id = 1260 AND
t21.lemma_id = 28026 AND
t22.lemma_id = 45095),
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;
;