- As far as rice is concerned, however, there was initially broad agreement on the need for change in the sector - the adoption of the ’Everything But Arms’ initiative makes this inevitable.
- När det gäller ris fanns det dock i princip en bred enighet om att det finns ett behov av förändringar inom sektorn, vilket blir oundvikligt genom antagandet av ?
- In general, however, as Chairman of the Committee on Agriculture and Fisheries I have been able to establish that there is broad agreement on the fact that rural policy should be strengthened and that greater emphasis should be placed on food safety, on protection of the environment and on animal welfare.
- Allmänt sett har jag dock som ordförande för rådet (jordbruk och fiske) kunnat konstatera en bred enighet om att jordbrukspolitiken bör stärkas och att man bör lägga större vikt vid livsmedelssäkerhet, skydd av miljön och djurens välbefinnande.
- Nonetheless, the debate was extremely positive in the sense that there is broad agreement that something must be done in this area, including the fact that there is a great need for simplification of the arrangements, and the delegations have a number of ideas for improvements and for new measures in the slightly longer term.
- Men diskussionen var ytterst positiv i så måtto att det råder bred enighet om att någonting måste ske på området, bl.a. om att det finns ett stort behov av en förenkling av ordningarna, och delegationerna har ett flertal idéer till förbättringar och till nya åtgärder på lite längre sikt.
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 = 57157 AND
t12.lemma_id = 40903 AND
t21.lemma_id = 53048 AND
t22.lemma_id = 30824),
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;
;