- We are not indifferent to the problems faced by fishermen, and we recommend that the new CFP provides adequate protection for the fishing capacity of communities that are dependent on fishing.
- Vi är inte likgiltiga inför fiskarnas problem, och vi rekommenderar att den nya gemensamma fiskeripolitiken på ett tillfredsställande sätt slår vakt om fiskekapaciteten hos de samhällen som är beroende av fiske.
- At the same time, given that environmental challenges cause serious problems for fishery resources, I believe that it is crucial for the new CFP to allow ecologically sustainable and economically viable fishing.
- Samtidigt tror jag att det är största vikt att den nya gemensamma fiskeripolitiken möjliggör ett ekologiskt och ekonomiskt hållbart fiske, eftersom utmaningarna på miljöområdet medför stora problem för de resurser som används i fisket.
- I also think it is vital that the new CFP ensures the quality of fish, and in sufficient quantities for people to maintain a fish-rich diet, which we now know to be well balanced and beneficial for a healthy life.
- Jag anser också att det är mycket viktigt att den nya gemensamma fiskeripolitiken slår vakt om fiskkvaliteten och sörjer för att människor har god tillgång till sådan fisk, så att de kan äta en fiskrik kost, som vi i dag vet är både allsidig och nyttig.
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 = 40584 AND
t12.lemma_id = 15618 AND
t21.lemma_id = 36412 AND
t22.lemma_id = 53462),
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;
;