- The Presidency will not spare any effort to ensure that this close relationship is maintained within the framework of a mutually beneficial arrangement between both parties.
- Ordförandeskapet kommer inte att spara på ansträngningarna för att dessa nära förbindelser skall kunna bevaras inom ramen för ett fördelaktigt samarbete för båda parter.
- For example Mr Corrie has mentioned some examples of horrific conduct that give rise to consideration of what should be done in view of the close relationship that the Lomé Convention gives to the European Union with the countries where such conduct takes place.
- Corrie har till exempel nämnt en del exempel på hårresande beteende som ger upphov till ett övervägande om vad som bör göras med hänsyn taget till de nära förbindelser som Lomékonventionen innebär mellan Europeiska unionen och de länder i vilka ett sådant beteende sker.
- Mr President, when the Union for the Mediterranean was founded almost two years ago, the intention, as we know, was that it should be linked to the Barcelona Process in order to create a closer relationship between the Mediterranean countries and the EU.
- När Medelhavsunionen grundades för närmare två år sedan var avsikten, som vi vet, att den skulle kopplas till Barcelonaprocessen för att skapa en närmare förbindelse mellan Medelhavsländerna och EU.
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 = 18036 AND
t12.lemma_id = 60676 AND
t21.lemma_id = 38750 AND
t22.lemma_id = 58063),
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;
;