- The immunity which we enjoy as MEPs must not be confused with impunity.
- Den immunitet som vi som parlamentsledamöter åtnjuter bör inte förväxlas med icke straffbarhet.
- These, of course, are not to be confused with inadmissible violent acts.
- Dessa rättigheter får naturligtvis inte förväxlas med oacceptabla våldshandlingar.
- The result is a tendency to confuse information with propaganda, and the representation of Parliament becomes confused with the self-representation of the majority groups.
- Det har resulterat i en tendens att förväxla information med propaganda.
- The result is a tendency to confuse information with propaganda, and the representation of Parliament becomes confused with the self-representation of the majority groups.
- Det har resulterat i att parlamentets framställning förväxlas med en framställning av de egna majoritetsgrupperna.
- I have to say that the statements by the representatives of the Council and of the Commission urging both sides to engage in dialogue are regrettable, because they confuse the victim with the perpetrator, as has become quite fashionable of late.
- Jag måste säga att uttalandena från rådets och kommissionens företrädare, där båda sidor uppmanades att inleda en dialog, är beklagliga, eftersom de förväxlar offret med gärningsmannen, som ofta varit fallet den senaste tiden.
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 = 33848 AND
t12.lemma_id = 12425 AND
t21.lemma_id = 29608 AND
t22.lemma_id = 57357),
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;
;