- The treaties require a degree of impartiality from Commissioners that would be difficult to counterfeit and that is why, for all their posturing, the critics of Mr Prodi have yet to provide any evidence that his other interests have negatively affected his work in Brussels.
- Fördragen kräver en grad av opartiskhet från kommissionärerna som är svår att hyckla, och det är därför som Romano Prodis kritiker, trots allt spel för gallerierna, ännu inte har kunnat visa att hans andra intressen har påverkat hans arbete i Bryssel på ett negativt sätt.
- If Parliament chooses to support Mr Lamassoure’s report, we will leave behind this system and move to one based on the proportionality principle, where a country’s size affects its representation in Parliament.
- Om parlamentet väljer att stödja Lamassoures betänkande så kommer vi att lämna detta system och i stället övergå till ett som bygger på en proportionalitetsprincip där ländernas storlek påverkar representationen i parlamentet.
- Commissioner Füle, are you aware of these major concerns which affect European investors in Ukraine and what specific steps has the Commission taken to protect legitimate, legal European business interests in the Ukrainian economy?
- Kommissionsledamot Füle, känner ni till dessa problem som påverkar europeiska investerare i Ukraina och vilka specifika åtgärder har kommissionen vidtagit för att skydda europeiska företags legitima intressen i Ukrainas ekonomi?
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 = 43861 AND
t12.lemma_id = 8748 AND
t21.lemma_id = 46112 AND
t22.lemma_id = 26495),
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;
;