- These will include the recommendations on all ten applications for membership from the countries of Central and Eastern Europe and the Baltic states and the report on the effects of enlargement on various policy areas, in particular the common agricultural policy and regional policy.
- Det gäller yttrandena beträffande alla tio medlemsansökningarna från Central- och Östeuropeiska länder, inbegripet de baltiska staterna, samt dokumentet om utvidgningens effekter på våra olika europeiska politiska områden, i synnerhet den gemensamma jordbrukspolitiken och regionalpolitiken i Europa.
- Parliament underlined the importance of EU legislation in this area on 17 June 1998, in a resolution in which it argued that it was necessary to create a legal framework at European level to ensure mutual confidence in digital signatures and to promote the development of a number of certification schemes which could be used in various areas such as electronic shopping and electronic communications between government bodies and citizens.
- Betydelsen av en gemenskapslagstiftning på detta område betonades av parlamentet den 17 juni 1998 i en resolution, i vilken man gjorde gällande att det är nödvändigt att skapa en rättslig ram på det europeiska planet för att säkerställa ett ömsesidigt förtroende för digitala signaturer, och för att främja utvecklingen av en rad certifieringssystem som kan användas på olika områden, särskilt inom elektronisk handel och elektronisk kommunikation mellan offentliga organ och medborgarna.
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 = 15665 AND
t12.lemma_id = 31190 AND
t21.lemma_id = 50187 AND
t22.lemma_id = 18527),
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;
;