- As committed and dedicated Europeans is this not the credo of our daily lives - to bring all European peoples together in friendship, peace and reconciliation, in a spirit of tolerance and mutual respect, fulfilling the guiding principles of our Treaty.
- Som engagerade och dedicerade européer, är det här inte våra dagliga livs trosbekännelse - att föra samman alla europeiska folk i vänskap, fred och försoning, i en andra av tolerans och ömsesidig respekt, i uppfyllelse av de grundläggande principerna i vårt fördrag.
- Precisely in this period of peace between Greece and Turkey we have an opportunity, here in the European Parliament, to bring the people of both countries together and to finally purge what they kept trying to teach me, and probably you too, in school in our history books, i.e. that Greece and Turkey supposedly hate each other.
- Jordbävningen i Grekland - för Turkiet har vi talat tillräckligt om - har möjligen krävt många offer, men det har också lett fram till mer än vad hundra resolutionsförslag skulle kunna leda fram till. I dessa tider av fred mellan Grekland och Turkiet har vi här i Europaparlamentet en möjlighet att tillsammans föra folken i dessa båda länder närmare varandra, och äntligen bli kvitt det man alltid försökt lära mig och förmodligen även er med hjälp av skolans historieböcker, nämligen att greker och turkar skulle hata varandra.
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
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t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 63063 AND
t12.lemma_id = 43011 AND
t21.lemma_id = 9881 AND
t22.lemma_id = 54233),
stats AS (SELECT
sentence_id,
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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
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JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;