- common borders, citizenship, international obligations and, of course, the oil resources.
- de gemensamma gränserna, medborgarskap, internationella förpliktelser och, naturligtvis, fördelningen av oljeresurserna.
- Slovenia and Croatia have recently reached agreement on the demarcation of the common border.
- Slovenien och Kroatien har nyligen kommit överens om utstakningen av den gemensamma gränsen.
- The Commission wishes also to underline that Slovenia is already engaged in intensive bilateral cooperation for control of the common border with Croatia.
- Kommissionen vill även understryka att Slovenien redan är engagerat i ett intensivt bilateralt samarbete för att övervaka den gemensamma gränsen med Kroatien.
- We have voted in favour of the report on checks at the common borders but have certain reservations concerning Amendment No 4 through which the police would, in certain circumstances, be given the ability to carry out identity checks and provisionally arrest people in the territory of another Member State.
- Vi har röstat ja till betänkandet om kontroller vid de gemensamma gränserna, men har vissa farhågor beträffande ändringsförslag 4, genom vilket polisen ges möjlighet att under vissa omständigheter genomföra identitetskontroll och tillfälligt gripa personer på annan medlemsstats territorium.
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 = 64036 AND
t12.lemma_id = 42586 AND
t21.lemma_id = 39570 AND
t22.lemma_id = 41367),
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;
;