- Moreover, a sound assessment of the European environmental policy is only possible if reliable data is available.
- En sund utvärdering av den europeiska miljöpolitiken är dessutom bara möjlig om det finns pålitliga data att tillgå.
- Moreover, environmental data currently available should be expanded in the medium term to facilitate the necessary policy assessment of European environmental policy.
- Dessutom bör den data som finns om miljön i dagsläget utvidgas på medellång sikt för att underlätta för den nödvändiga utvärdering som kommer att genomföras av den europeiska miljöpolitiken.
- By further developing the Euro standards, we have doubtless taken a decisive step in the context of European environmental policy, a step which is also tolerable to the automobile industry.
- Genom att vidareutveckla Euro-standarderna har vi utan tvekan tagit ett bestämt steg inom den europeiska miljöpolitiken, ett steg som också bilindustrin har skäl att anse som rimligt.
- I voted in favour of the report on EU environmental economic accounts as I believe that there need to be indicators for sustainable development and public welfare, beyond gross domestic product (GDP), that enable the evaluation of European environmental policy.
- Jag röstade för betänkandet om europeiska miljöräkenskaper eftersom jag anser att det behöver finnas indikatorer för hållbar utveckling och den offentliga välfärden som går bortom bruttonationalprodukten (BNP) och som möjliggör en utvärdering av den europeiska miljöpolitiken.
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 = 25416 AND
t12.lemma_id = 21311 AND
t21.lemma_id = 46616 AND
t22.lemma_id = 11582),
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;
;