- Mr President, before I start, I would like to thank you for the constructive way in which you chair our session and for your fairness in naming who is to speak and who is not to.
- Innan jag börjar vill jag tacka er för det konstruktiva sätt som ni har lett sammanträdet på och för att ni varit rättvis när det gäller att bestämma vem som ska tala och vem som inte ska det.
- If you do, you will achieve a great majority in this House, enabling the European Union to be in a stronger position when it goes to the donors’ conference and us to take on a great deal of responsibility in a constructive way.
- Om ni gör det kommer ni att nå en stor majoritet i denna kammare, en position som gör att Europeiska unionen kan gå starkare till givarkonferensen och som gör att vi kan ta ett större ansvar på ett konstruktivt sätt.
- We have worked extremely hard in order to produce a high quality agreement, and I would like to express my heartfelt appreciation of the constructive way in which you led the negotiations, Madam President, with the support of the Conference of Presidents and Mrs De Palacio from the Commission.
- Vi har arbetat med stort engagemang för att komma fram till ett dugligt och starkt avtal och jag vill uttrycka min djupa uppskattning för det konstruktiva sätt på vilket förhandlingarna har förts av er, fru talman, med stöd av talmanskonferensen och av fru De Palacio från kommissionens sida.
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
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WHERE
s1.val = 'amod' AND
s2.val = 'AT' AND
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t22.ctag = 'ADJ' AND
t11.lemma_id = 27891 AND
t12.lemma_id = 58477 AND
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t22.lemma_id = 4448),
stats AS (SELECT
sentence_id,
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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
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FROM
numbered
JOIN token ON token_id = t21
) x
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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' ||
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'' ORDER BY token_id ASC) AS s
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sentences
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JOIN typestr USING (type_id)
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ORDER BY w DESC, i, n;
;