- The Commission is committed to maintaining a constructive dialogue - and this is my political commitment to you - with the stakeholders mostly affected by the draft directive during the legislative process.
- Kommissionen är fast besluten att under lagstiftningsprocessen upprätthålla en konstruktiv dialog - och detta är mitt politiska åtagande till er - med de intressenter som mest påverkas av förslaget till direktiv.
- This agreement will create a lasting framework for cooperation between the special administrative area of Macao and the EU, and will help to maintain regular dialogue on economic matters and matters of commerce and cooperation.
- Genom detta avtal skapar man permanenta ramar för samarbete mellan Macaos särskilda administrativa område och EU och med hjälp av avtalet upprätthåller man en regelbunden dialog om frågor som rör handel, ekonomi och samarbete.
- In addition to this, since 2007 the EU has maintained a dialogue on human rights within the framework of the Cooperation Agreement with Pakistan, which makes provision for a regular dialogue on governance and human rights.
- Utöver detta har EU sedan 2007 upprätthållit en dialog om mänskliga rättigheter inom ramen för samarbetsavtalet med Pakistan, vilken bidrar med en regelbunden dialog om samhällsstyrning och mänskliga rättigheter.
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 = 15930 AND
t12.lemma_id = 22144 AND
t21.lemma_id = 52358 AND
t22.lemma_id = 56387),
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;
;