- At the same time, greater synergies are called for with the development actions of the European Agricultural Fund for Rural Development and the European Fisheries Fund.
- Samtidigt krävs ökade synergier med utvecklingsåtgärderna inom Europeiska jordbruksfonden för landsbygdsutveckling och Europeiska fiskerifonden.
- The European Fisheries Fund (EFF) should continue to grant aid to improve the selectivity of fishing gear and to replace engines on grounds of safety, environmental protection and/or fuel economy, above all, for small-scale coastal and traditional fishermen.
- Europeiska fiskerifonden bör fortsätta att bevilja stöd för att förbättra fiskeredskapens selektivitet och byta ut maskiner av säkerhets- och miljöskäl och/eller bränsleekonomi, framför allt för fiskare som bedriver småskaligt och traditionellt fiske.
- The main demand formulated in the report in order to achieve this objective is for common rules on management and application to be adopted within the general framework of cohesion policy and with the European Agricultural Fund for Rural Development and the European Fisheries Fund.
- Det som betänkandet i första hand efterlyser för att nå detta mål är att det inom sammanhållningspolitikens allmänna ram antas gemensamma regler för förvaltning och ansökningar för Europeiska jordbruksfonden för landsbygdsutveckling och Europeiska fiskerifonden.
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 = 55821 AND
t12.lemma_id = 21311 AND
t21.lemma_id = 52930 AND
t22.lemma_id = 11582),
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;
;