- We need an independent data register for monitoring the voluntary undertaking and I feel that this needs to be clearly stated in the directive.
- Vi behöver ett oberoende uppgiftsregister för att kunna övervaka det frivilliga åtagandet, och det måste enligt min åsikt också tydligt tas med i detta direktiv.
- They must be the basis in 2002 for monitoring the voluntary undertaking.
- Det får inte vara så att de på något vis fastnar någonstans och hamnar i en pärm i skåpet, utan de måste år 2002 utgöra grunden för en övervakning av de frivilliga åtagandena.
- we must make it clear that if the monitoring data show that the voluntary undertaking does not work, then legislation will follow.
- För det första måste vi klargöra att när uppgifter från denna övervakning inte stämmer med det frivilliga åtagandet, kommer problemet att lösas på lagenlig väg.
- the voluntary undertaking by the motor industry, both in Europe and in Japan and Korea, refers to technical measures to reduce CO2 through better engines, lighter vehicles etc. That also needs to be monitored.
- För det tredje har det frivilliga åtagandet från bilindustrins sida - inom den europeiska såväl som den koreanska och japanska - att göra med tekniska åtgärder för att minska koldioxidhalten med hjälp av bättre motorer, lättare konstruktion osv. Detta måste också granskas.
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 = 5898 AND
t12.lemma_id = 1478 AND
t21.lemma_id = 44185 AND
t22.lemma_id = 30688),
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;
;