- I believe that collective awareness raising about the enormous amount that remains to be done is very important, and that the EU should remain at the forefront of a just battle, which, while favouring women, is not exclusively a women’s issue, but one for humankind as a whole.
- Jag anser att en ökning av den kollektiva medvetenheten om den enorma mängd arbete som återstår är mycket viktig, och att EU bör stå kvar i frontlinjen för en rättvis kamp, som trots att den gynnar kvinnor inte uteslutande är en kvinnofråga, utan en fråga för mänskligheten som helhet.
- One of you, with their usual frankness, had very harsh words to say about the Commission, which is at the heart of the Community model and method, and which intends to remain at the heart with the threefold role of proposing, monitoring and implementing which was conferred on it by the Treaties.
- En av er sade med sin vanliga uppriktighet något mycket hårt om kommissionen som står i centrum för gemenskapsmetoden och gemenskapsmodellen, och som har för avsikt att stå kvar i centrum med denna tredelade roll när det gäller förslag, övervakning och verkställande som den tilldelats i fördragen och som i och med den europeiska kontinentens återförening, när skillnaderna kommer att öka och centrifugalkrafterna kommer att bli alltfler, kommer att bli ännu mer nödvändig än vad den varit de senaste femtio åren.
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 = 7511 AND
t12.lemma_id = 38254 AND
t21.lemma_id = 33479 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;
;