- Whilst we fully support the aims of the Rapporteur in ensuring a reduction in road traffic accidents, we nevertheless feel the best way to achieve this is through an exchange of best practice between Member States rather than legislation at a European level.
- Samtidigt som vi fullt ut stöder föredragandens målsättning att reducera antalet trafikolyckor, anser vi dock att det bästa sättet att uppnå detta är genom att diskutera bästa metoder mellan medlemsstaterna i stället för att lagstifta på EU-nivå.
- In answer to these questions by Mrs Izquierdo Rojo on vocational training and Euromediterranean policy, I would point out that the Council was one of the parties which adopted the Barcelona declaration and the programme of work in November 1995, and that it therefore fully supports the aim of holding a regular dialogue on education policy, including vocational training, within the framework of the Euromediterranean partnership.
- Som svar på dessa frågor från fru Izquierdo Rojo om yrkesutbildning i samband med den europeiska Medelhavspolitiken vill jag påpeka att rådet var en av parterna som i november 1995 antog förklaringen från Barcelona och arbetsprogrammet, att man därför helt stödjer målsättningen inom ramen för det europeiska Medelhavspartnerskapet om en regelbunden dialog om utbildningspolitiken, inbegripet yrkesutbildning.
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
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 8954 AND
t12.lemma_id = 43257 AND
t21.lemma_id = 63358 AND
t22.lemma_id = 6533),
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;
;