- Professor MacCormick said that there seems to be a very great deal of agreement about the need to go forward without amending this proposal.
- Professor MacCormick sade att det verkade finnas en övertygande enighet rörande behovet av att gå vidare utan att ändra detta förslag.
- It is therefore very disappointing to note that the rapporteur confines himself to amending the Commission proposal where the level of excise duty is concerned without giving a reasoned consideration.
- Det är därför också mycket otillfredsställande att se hur föredraganden inskränker sig till att ändra kommissionens förslag när det gäller storleken på punktskattesatserna utan att ge ett innehållsmässigt skäl för det.
- I am also very pleased to be able to amend the proposal to allow guide dogs or service dogs on long-haul flights, because I am advised that the owners of those dogs are in the best position to judge how long a flight the animal can cope with.
- Det gläder mig också verkligen att kunna ändra förslaget för att tillåta ledarhundar eller tjänstehundar på långdistansflygningar, eftersom jag är övertygad om att ägarna till dessa hundar bäst kan bedöma hur långa flygningar djuret kan klara av.
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
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t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 61148 AND
t12.lemma_id = 45743 AND
t21.lemma_id = 28236 AND
t22.lemma_id = 12133),
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;
;