- Yesterday’s trialogue gives a lot of hope for final agreement.
- Gårdagens trepartssamtal ger stort hopp om en slutlig överenskommelse.
- We are looking forward to constructive cooperation with a view to coming to a final agreement.
- Vi ser fram emot ett konstruktivt samarbete för att nå fram till en slutlig överenskommelse.
- Everyone is agreed on the desirability of reaching a final agreement on the regulation.
- Alla är överens om att det är önskvärt att komma fram till en slutlig överenskommelse om förordningen.
- We voted for this final agreement because Parliament secured a EUR 40 million increase above the amount provided for in the Council Common Position.
- Vi röstade för denna slutliga överenskommelse, eftersom parlamentet säkrade en ökning med 40 miljoner euro av det belopp som erbjudits i rådets gemensamma ståndpunkt.
- Nonetheless, in spite of the complexity of the groups whose interests have to be taken into account, the directive ensures a sufficiently high degree of copyright harmonisation and it should be possible to reach a final agreement today.
- Trots komplexiteten hos de grupper vars intressen man tagit hänsyn till, säkerställer direktivet ändå en tillräckligt hög grad av upphovsrättslig harmonisering, och det bör vara möjligt att uppnå en slutlig överenskommelse i dag.
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 = 57157 AND
t12.lemma_id = 63093 AND
t21.lemma_id = 63061 AND
t22.lemma_id = 42870),
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;
;