- Promotion will be appropriate when the use of biofuels makes a clear contribution to a better environment.
- När användningen av biobränslen uteslutande bidrar till en bättre miljö är befrämjande på sin plats.
- Therefore, we also have to be tough on climate issues, because that promotes innovation, not only a better environment.
- Därför måste vi också vara tuffa i klimatfrågorna, eftersom det inte bara främjar en bättre miljö utan också innovation.
- Kyoto is a step in the right direction, towards a better environment, but we have a long way to go yet.
- Kyoto är ett steg i rätt riktning, mot en bättre miljö, men vi har fortfarande lång väg kvar.
- The rapid phasing-out of nuclear power, the reduction of carbon dioxide emissions, a better environment, continued well-being and economic power - these are not all of a piece.
- Snabb avveckling av kärnkraften, minskning av koldioxidutsläppen, bättre miljö, bevarad välfärd och ekonomisk kraft - detta går inte ihop!
- The fourth priority aims to make the Single Market a better environment for SMEs, given their importance for economic growth and their job creation potential.
- Den fjärde prioriteringen är att den inre marknaden ska bli en bättre miljö för små och medelstora företag, med tanke på deras betydelse för den ekonomiska tillväxten och potential att skapa sysselsättning.
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 = 42827 AND
t12.lemma_id = 12586 AND
t21.lemma_id = 52892 AND
t22.lemma_id = 2973),
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;
;