- Mr President, first of all I should like to express my satisfaction at the conclusion of the Association Agreement between Mexico and the European Union.
- Jag vill börja med att uttrycka min glädje över att partnerskapsavtalet mellan Mexiko och Europeiska gemenskapen har undertecknats och vi är många som under flera år har deltagit aktivt i utformningen av detta.
- Mr President, I am speaking to express my satisfaction as well as to explain my reasons for voting in favour of the report by Mr Garriga Polledo, which somehow manages to set out serious and effectives goals which contribute to strengthening the cohesion policy.
- Jag vill uttrycka min glädje och förklara varför jag röstade för Salvador Garriga Polledos betänkande, som på något sätt lyckas fastställa seriösa och effektiva mål som bidrar till att stärka sammanhållningspolitiken.
- As rapporteur, I would like to express my satisfaction that such a long period has been fruitful and has enabled us to reach an agreement on the text of the regulation which I am today asking Parliament to vote in favour of.
- Jag vill som föredragande uttrycka min glädje över detta, för jag anser att en sådan lång period har varit givande och gjort det möjligt att uppnå ett avtal om förordningens text som jag i dag uppmuntrar parlamentets plenum att rösta ja till. Våra utgångspunkter skilde sig totalt.
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 = 61808 AND
t12.lemma_id = 32828 AND
t21.lemma_id = 56095 AND
t22.lemma_id = 1043),
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;
;