- I refer in particular to the development of synergies for an integrated approach between the different sectoral policies that exist in the field of regional policy, as highlighted in the report.
- Jag tänker särskilt på att skapa synergier för en integrerad strategi mellan de olika sektorsvisa politikområden som finns inom regionalpolitiken, vilket lyfts fram i betänkandet.
- We consider that in what is, from every point of view, a sensitive region, constant efforts should be made in the Mediterranean to develop understanding and cooperation, cooperation on an equal footing that takes account of the asymmetries and inequalities that exist in the various sectors of development between countries in the Mediterranean and between the European Union and its neighbouring countries in the region, cooperation that targets lasting peace.
- Vi anser att det i denna region, som är känslig i alla aspekter, krävs ständiga insatser i Medelhavsområdet för att utveckla förståelse och samarbete, ett samarbete på lika villkor som tar hänsyn till de asymmetrier och olikheter som finns inom de olika utvecklingsområdena mellan länderna i Medelhavsområdet och Europeiska unionen och dess grannländer i regionen, ett samarbete som inriktas på varaktig fred. Detta kan åstadkommas genom dialog på grundval av ömsesidig respekt, och därför måste vi vara öppna för ömsesidigt inflytande.
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 = 64284 AND
t12.lemma_id = 8748 AND
t21.lemma_id = 32744 AND
t22.lemma_id = 15813),
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;
;