- Madam President, ladies and gentlemen, I should like to start by expressing my thanks to the rapporteur, Baroness Nicholson, for her report.
- Inledningsvis vill jag uttrycka mitt tack till föredraganden Baroness Nicholson of Winterbourne för hennes betänkande.
- For this reason, I would like to express my sincere thanks to you, while also thanking the Commission and its President, Mr Barroso, for their support.
- Därför vill jag uttrycka mitt uppriktiga tack till er, och samtidigt tacka kommissionen och dess ordförande José Manuel Barroso för deras stöd.
- Mr President, first of all I would like to express my thanks for the solidarity expressed by other colleagues due to the recent assassination by the terrorist group ETA.
- För det första skulle jag vilja uttrycka mitt tack för den solidaritet som uttryckts av andra kolleger med anledning av terroristgruppen ETA:s senaste mord.
- Permit me to express my warm and heartfelt thanks to the representatives of the Commission and of all of the Member States in this House for expressing their countries’ solidarity with, and support for, Estonia.
- Låt mig uttrycka mitt varma och hjärtliga tack till företrädarna för kommissionen och alla medlemsstaterna i denna kammare för att ha uttryckt sina länders solidaritet med och stöd för Estland.
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 = 17711 AND
t21.lemma_id = 56095 AND
t22.lemma_id = 64756),
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;
;