- This is absolutely accepted as the Council has repeatedly asserted that the future of Serbia naturally lies in its future membership of the European Union.
- Det håller rådet definitivt med om, eftersom vi upprepade gånger har försäkrat att Serbiens framtid naturligtvis ligger i dess framtida medlemskap i EU.
- Moreover, what is the state of play as regards the European Union’s own preparations for the future membership of Turkey?
- Dessutom, hur ligger det till med Europeiska unionens egna förberedelser inför ett framtida medlemskap för Turkiet?
- It is quite inappropriate for the European Parliament to make prejudiced comments on Russia’s possible future membership, not least in view of the fact that Russia has not actually applied for membership.
- Att Europaparlamentet ensidigt uttalar sig om Rysslands eventuella framtida medlemskap är direkt olämpligt, inte minst med tanke på att Ryssland faktiskt inte har ansökt om medlemskap.
- Finally, preparations must be made for talks on an Association Agreement, as the recent enlargement taught us that this is the right instrument to use in order to achieve stabilisation and open the doors to future membership.
- Avslutningsvis måste samtal om ett associeringsavtal förberedas, eftersom den senaste utvidgningen har lärt oss att detta är rätt instrument för att uppnå stabilisering och öppna dörrarna för ett framtida medlemskap.
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 = 56836 AND
t12.lemma_id = 47826 AND
t21.lemma_id = 41556 AND
t22.lemma_id = 17639),
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;
;