- In any case, I want to thank every candidate from my area, especially the Estonian President, Toomas Hendrik Ilves, and the Latvian President, Vaira Vīķe-Freiberga.
- Jag vill hur som helst tacka samtliga kandidater från min region, och i synnerhet Estlands president Toomas Hendrik Ilves och Lettlands president Vaira Vīķe-Freiberga.
- Madam President, before discussing the proposal that is going to be voted on this morning, I would like to thank the rapporteurs from all the political groups, and I would especially like to thank Mrs Sornosa, from the Socialist Group in the European Parliament, and our friend Mr Prodi, who have really worked side by side and have enriched the directive, as have the Group of the Greens/European Free Alliance and many other Members.
- Innan vi diskuterar det förslag som vi ska rösta om i dag, vill jag tacka alla föredraganden från alla politiska grupper och jag vill särskilt tacka María Sornosa från socialdemokratiska gruppen i Europaparlamentet och vår vän Vittorio Prodi, som verkligen har arbetat tätt tillsammans med oss och som berikat direktivet, liksom De gröna/Europeiska fria alliansen och många andra ledamöter.
- Madam President, before discussing the proposal that is going to be voted on this morning, I would like to thank the rapporteurs from all the political groups, and I would especially like to thank Mrs Sornosa, from the Socialist Group in the European Parliament, and our friend Mr Prodi, who have really worked side by side and have enriched the directive, as have the Group of the Greens/European Free Alliance and many other Members.
- Innan vi diskuterar det förslag som vi ska rösta om i dag, vill jag tacka alla föredraganden från alla politiska grupper och jag vill särskilt tacka María Sornosa från socialdemokratiska gruppen i Europaparlamentet och vår vän Vittorio Prodi, som verkligen har arbetat tätt tillsammans med oss och som berikat direktivet, liksom De gröna/Europeiska fria alliansen och många andra ledamöter.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 17711 AND
t12.lemma_id = 15442 AND
t21.lemma_id = 35943 AND
t22.lemma_id = 58308),
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;
;