- Honourable Members, yesterday I had the opportunity at the beginning of the session of expressing the great satisfaction of the House at the Nobel Prize which has been awarded to our colleague, Mr John Hume.
- Igår hade jag möjligheten att vid sammanträdets öppnande uttrycka parlamentet stora tillfredsställelse över att Nobels fredspris har gått till vår kollega, John Hume.
- In a letter of 16 June, I expressed my satisfaction to President Borrell at the overwhelming vote of approval delivered by the members of the Committee on Legal Affairs on the report you have presented to us.
- I en skrivelse av den 16 juni till talman Josep Borell Fontelles uttryckte jag min tillfredsställelse över det överväldigande samtycke som uttrycktes av ledamöterna av utskottet för rättsliga frågor vid omröstningen om föreliggande betänkande.
- Madam President, I should like to start by thanking the rapporteur, Mr Lewandowski, for a good report, and also by expressing my satisfaction with the new procedure and the more open dialogue and early briefing of the committee that has been evident.
- Jag vill börja med att tacka föredraganden, Janusz Lewandowski, för ett bra betänkande och även uttrycka min tillfredsställelse över det nya förfarandet, den öppnare dialogen och den tidigare informationen till utskottet som varit.
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 = 32828 AND
t21.lemma_id = 56095 AND
t22.lemma_id = 34086),
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;
;