- by doing so we risk putting our small and medium-sized enterprises in Europe at a disadvantage.
- Att införa allt strängare miljökrav är inte lösningen - det riskerar bara att försätta våra europeiska små och medelstora företag i ett ogynnsamt läge.
- European products cannot be put at a disadvantage to products originating from third countries simply because the latter have been produced according to a lower level of food industry regulations.
- EU-produkter får inte försättas i ett ofördelaktigt läge jämfört med produkter med ursprung i tredjeländer bara för att tredjeländerna har producerat enligt mindre stränga livsmedelsindustriregler.
- With the awarding of patents in this area we are running the risk of actually discouraging innovation and putting small- and medium-sized enterprises at a disadvantage, something that other people have already pointed out.
- Genom att bevilja patent på detta område löper vi risken att i själva verket motverka innovation och försätta små och medelstora företag i ett svårt läge, något som andra redan har påpekat.
- The other side of the coin is that people are paid very low wages in China and hence have very little purchasing power, so the low level of wages in China puts us at a disadvantage and makes it less likely that we will sell goods there.
- De låga lönenivåerna i Kina försätter oss alltså i ett ofördelaktigt läge och gör det mindre troligt att vi kan sälja varor där.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 3244 AND
t12.lemma_id = 38254 AND
t21.lemma_id = 42475 AND
t22.lemma_id = 26495),
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;
;