- Without a basic and unified regulation on additives the principle of mutual tolerance leads to great confusion amongst consumers.
- Utan grundläggande och enhetliga bestämmelser för tillsatserna leder principen om ömsesidigt erkännande till stor förvirring hos förbrukaren.
- In this regard, several Member States have established differing timetables and dates for restrictions, which is creating great confusion for hauliers, for the senders and receivers of cargo, as well as disturbance in the freight market in terms of distribution and supply.
- När det gäller den här saken har flera medlemsstater fastställt olika tidpunkter och datum för begränsningarna, vilket orsakar stor förvirring för transportörerna, avsändarna och mottagarna av lasterna samt även störningar på frakt-, distributions och försörjningsmarknaden.
- This is an important step forward in a sector which is not yet familiar to the consumer and is a source of great confusion and bewilderment.
- Vi kan inte annat än glädjas åt att den nya förordningen nr 258/97 om nya livsmedel har trätt i kraft, vilket skedde den 15 mars i år, eftersom de nya tillämpningsföreskrifterna vad gäller etikettering innebär ett viktigt framsteg inom ett område som, för konsumenten, fortfarande är okänt och som utgör en källa till stor förvirring.
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 = 5265 AND
t12.lemma_id = 43163 AND
t21.lemma_id = 59325 AND
t22.lemma_id = 35323),
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;
;