- The Council is trying with all the means at its disposal to influence this situation.
- Rådet försöker med alla till buds stående medel påverka denna situation.
- Let us try yet again with one small step at a time and perhaps the House will sit in 2005, when we need to examine the initial results, and complain that perhaps we did not do enough today.
- Låt oss än en gång försöka med de små stegen, och kanske kommer denna kammare då år 2005, när de första resultaten måste granskas, att åter samlas och klaga över att vi i dag kanske inte gjorde tillräckligt.
- With the proposal for a directive we are considering, the Commission is trying to establish uniform specifications in respect of safety requirements and the professional competence of cabin crews in civil aviation.
- Med det förslag till direktiv som ligger under behandling försöker kommissionen att utfärda enhetliga normer för säkerhetskrav och yrkesmässig kompetens för kabinpersonal inom civil luftfart.
- With these amendments, we tried for example to throw a spotlight on the fact that Turkey is guilty of a policy of wiping out the cultural, political and social identity of the Kurds.
- Med våra ändringsförslag försökte vi till exempel uppmärksamma att Turkiet bedriver en politik som raderar ut kurdernas kulturella, politiska och sociala identitet.
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 = 10992 AND
t12.lemma_id = 12425 AND
t21.lemma_id = 51082 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;
;