- Freedom of religion, in particular of Christian communities, should be the flagship of European diplomacy.
- Religionsfrihet, i synnerhet för kristna samfund, ska vara flaggskeppet för europeisk diplomati.
- The next item is the debate on six motions for resolutions on Iraq - in particular, the death penalty (including the case of Tariq Aziz) and attacks against Christian communities.
- Nästa punkt är debatten om sex resolutionsförslag om Irak - i synnerhet dödsstraffet (inbegripet Tariq Aziz-fallet) och angreppen på kristna samfund.
- Madam President, I am sure that the Iraqi Government has the best of intentions, but we all have to do more to protect the Christian community in the country.
- Jag är säker på att Iraks regering har de bästa av avsikter, men vi måste alla göra mer för att skydda det kristna samfundet i landet.
- Another fundamental point is inter-religious dialogue with the various communities, including the Christian community, and, in particular, the possibility for these communities to obtain legal personality in order to open and operate houses of worship.
- En annan grundläggande punkt är den interreligiösa dialogen med olika samfund, bland annat det kristna samfundet, och särskilt möjligheten för dessa samfund att få rättslig status för att öppna och bedriva verksamhet i sina gudstjänstlokaler.
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 = 8906 AND
t12.lemma_id = 29811 AND
t21.lemma_id = 56149 AND
t22.lemma_id = 44991),
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;
;