- In particular, we very strongly oppose the inclusion in the resolution of Paragraphs 32 and 35, which constitute unacceptable interference in the domestic affairs of one of the Member States.
- Vi är särskilt mycket bestämt emot att man inför punkterna 32 och 35 i resolutionen, eftersom dessa punkter utgör en oacceptabel inblandning i ett medlemslands inre angelägenheter.
- It is therefore a text that constitutes a considerable qualitative leap in relation to the SAVE programme, because it has a restrictive nature that will give us total credibility with regard to the Kyoto challenges.
- Eftersom detta dokument har en bindande karaktär utgör det ett betydande kvalitativt språng i förhållande till Saveprogrammet, vilket ger oss full trovärdighet i förhållande till de utmaningar som antogs i Kyoto.
- Brittany and Galicia, two European ’Lands Ends’, fall constant prey to the irresponsibility of those who prefer not to comply with safety regulations and transport crude oil in vessels which in themselves constitute potential oil slicks.
- Bretagne och Galicien, två europeiska ändpunkter, blir ständigt offer för det bristande ansvarstagandet hos dem som väljer att bryta mot säkerhetsbestämmelserna och transportera råolja i fartyg som i sig utgör potentiella oljebälten.
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 = 58827 AND
t12.lemma_id = 8748 AND
t21.lemma_id = 36677 AND
t22.lemma_id = 26495),
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;
;