- Moreover, it is time to devote more attention to by-catch of non-commercial fish.
- Det är dessutom dags att ägna mer uppmärksamhet åt bifångst av icke-kommersiell fisk.
- We must, therefore, devote our full attention to these difficulties, and by ’we’ I mean not only Parliament, but also the Council and the Commission.
- Vi måste därför ägna vår fulla uppmärksamhet åt dessa svårigheter, och när jag säger ”vi” menar jag inte bara parlamentet, utan också rådet och kommissionen.
- Today, however, as we are not sure whether we will be able to coordinate such unstable situations or even slightly similar situations in the future, I feel that we should think about how to develop and devote greater attention to other, alternative means of transport and ways of carrying passengers, as the German MEP mentioned, railways, for example.
- I dag är vi dock inte säkra på om vi kommer att kunna samordna sådana instabila situationer eller liknande situationer i framtiden, och jag anser därför att vi bör fundera på hur vi ska utveckla och ägna större uppmärksamhet åt andra, alternativa transportmedel och transportsätt för passagerare, till exempel järnvägstrafiken, som den tyska parlamentsledamoten nämnde.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 26815 AND
t12.lemma_id = 53325 AND
t21.lemma_id = 8017 AND
t22.lemma_id = 18405),
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;
;