- We were therefore shocked when the Cairo Administrative Court set aside the ban which the Egyptian Government had imposed on genital mutilation.
- Vi blev då också chockade när den administrativa domstolen i Kairo upphävde förbudet mot könsstympning som den egyptiska regeringen hade instiftat.
- The Commission firmly believes that the dialogue with Egypt within the framework of the political arrangements set out in the Association Agreement and in the ENP action plan is the most effective way to impress upon the Egyptian Government the EU’s concerns regarding respect for human rights and international law.
- Det är kommissionens fasta övertygelse att dialogen med Egypten, inom ramen för de politiska åtgärder som framlagts i associeringsavtalet och i handlingsplanen för den europeiska grannskapspolitikens, är det effektivaste sättet att framhålla för den egyptiska regeringen att EU lägger stor vikt vid respekt för mänskliga rättigheter och internationell lag.
- We therefore urge the Egyptian Government to put an end to the emergency law to allow all citizens to fully enjoy their lawful rights, to allow sexual orientation, freedom of religion and freedom of opinion to be expressed without being equated to crimes and to allow the freedom of association to be guaranteed so that civil liberties campaigners will no longer be persecuted.
- Vi uppmanar således den egyptiska regeringen att stätta stopp för denna undantagslag, så att varje medborgare får åtnjuta sina rättigheter fullt ut, så att sexuell läggning, religion och åsikter får uttryckas fritt utan att likställas med brott och så att yttrandefriheten garanteras, för att frihetens anhängare inte längre skall förföljas.
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 = 41286 AND
t12.lemma_id = 64264 AND
t21.lemma_id = 46843 AND
t22.lemma_id = 38177),
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;
;