- However, the actions of the German and Austrian police cast a dark shadow over the idea of Schengen and European solidarity, when numerous Czech citizens are forced to undergo unnecessary, intimate and degrading checks at internal borders.
- Den tyska och österrikiska polisens åtgärder kastar dock en skugga över idén om Schengen och europeisk solidaritet, när mängder av tjeckiska medborgare tvingas genomgå onödiga, intima och förnedrande kontroller vid de inre gränserna.
- Furthermore, I am concerned about the wording in paragraph 6, which states that Parliament ’notes that the visa requirement for Czech citizens has been introduced by the Canadian Government in response to an influx of Roma people into Canada’.
- Vidare är jag bekymrad över ordalydelsen i punkt 6, som lyder ”Parlamentet konstaterar att den kanadensiska regeringen införde visumkrav för tjeckiska medborgare som ett svar på den stora tillströmningen av romer till landet”.
- It amounts to a clear breach of the rules, and in the case of Czech citizens, including businessmen and workers, it restricts free movement, which is one of the basic freedoms guaranteed by the Charter of Fundamental Rights of the European Union.
- Det innebär ett klart brott mot bestämmelserna och när det gäller tjeckiska medborgare, inklusive affärsmän och arbetstagare, begränsar det den fria rörligheten, som är en av de grundläggande friheter som garanteras i Europeiska unionens stadga om de grundläggande rättigheterna.
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 = 42799 AND
t12.lemma_id = 47552 AND
t21.lemma_id = 30239 AND
t22.lemma_id = 51909),
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;
;