- The issue of electronic waste is not about implementing exaggerated environmental standards.
- Frågan om elektroniskt avfall handlar inte om överdrivna miljöstandarder.
- In a large port in one country, 420 containers containing high-quality electronic waste were checked and 360 of them were illegal.
- I en stor hamn i ett land kontrollerades 420 containrar med högkvalitativt elektroniskt avfall och 360 av dem var olagliga.
- That is why this important tool is a good step in the right direction in the recycling of electronic waste, allowing us to guarantee better resource efficiency and the return of raw materials to producers.
- Därför är detta viktiga redskap ett bra steg i rätt riktning när det gäller återvinningen av elektroniskt avfall, som gör det möjligt för oss att garantera en bättre resurseffektivitet och att råmaterialet återvänder till tillverkarna.
- We know that a regrettably large proportion of electronic waste, and, in particular, small waste items, such as mobile phones, have ended up in landfill, not just in the EU but also in third countries, and is ultimately incinerated.
- Vi vet att en beklagligt stor del av det elektroniska avfallet och framför allt små avfallsföremål, t.ex. mobiltelefoner, har hamnat i avfallsdeponier, inte bara i EU utan i tredjeländer och att de till sist förbränns.
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 = 52366 AND
t12.lemma_id = 56818 AND
t21.lemma_id = 65128 AND
t22.lemma_id = 33829),
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;
;