- Mr President, I too would like to express my great appreciation for the work of Mrs Lalumière, who has produced an extraordinarily sound document which is also carefully thought out.
- Även jag vill uttrycka min stora uppskattning för arbetet av Lalumière som lagt fram ett ovanligt bra betänkande som är mycket genomtänkt och utförligt diskuterat i utskottet för utrikesfrågor och som hjälper oss på rätt väg.
- Mr President, the report by Pedro Aparicio Sánchez deserves great appreciation and unconditional consensus because, for the first time, it deals critically and constructively with one of the European Union’s most serious and dramatic problems:
- Pedro Aparicio Sánchez betänkande förtjänar stor uppskattning och obetingat stöd eftersom han i det för första gången tar upp ett av de allvarligaste och mest dramatiska problemen i Europeiska unionen på ett kritiskt och konstruktivt sätt:
- Mr President, first of all I would like to express my thanks for the positive reception given to me, and I would also like to take this opportunity to express my great appreciation of the close and fruitful cooperation between the European Parliament and the Danish Presidency.
- Jag tackar först och främst för det positiva välkomnandet och utnyttjar tillfället för att uttrycka min stora uppskattning av det goda och nära samarbetet mellan Europaparlamentet och det danska ordförandeskapet.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 18792 AND
t12.lemma_id = 43163 AND
t21.lemma_id = 46531 AND
t22.lemma_id = 35323),
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;
;