- The reasoning behind this preferential treatment, it is maintained, stems from the need to introduce safeguards within a system which, although subject to few controls, manages enormous amounts of capital obtained, as we know, from millions of savers.
- Skälen för en sådan fördelaktig behandling är behovet, hävdar man, att införa säkerhetsgarantier inom ett system som, även om det kontrolleras av ett fåtal, hanterar enorma mängder kapital som, vilket vi väl känner till, kommer från miljontals sparare.
- They include the enormous amount of energy that is still being wasted, and there are also the negative consequences of the current energy system on ecosystems and in particular on the Earth’s atmosphere.
- De inbegriper den enorma mängd energi som alltjämt går till spillo, liksom de skador på ekosystemen som dagens energisystem orsakar, särskilt på jordens atmosfär.
- I believe that collective awareness raising about the enormous amount that remains to be done is very important, and that the EU should remain at the forefront of a just battle, which, while favouring women, is not exclusively a women’s issue, but one for humankind as a whole.
- Jag anser att en ökning av den kollektiva medvetenheten om den enorma mängd arbete som återstår är mycket viktig, och att EU bör stå kvar i frontlinjen för en rättvis kamp, som trots att den gynnar kvinnor inte uteslutande är en kvinnofråga, utan en fråga för mänskligheten som helhet.
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 = 24184 AND
t12.lemma_id = 9815 AND
t21.lemma_id = 12533 AND
t22.lemma_id = 54424),
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;
;