- We therefore need to take up the best parts of this treaty, namely parts 1 and 2.
- Därför måste vi ta upp de bästa delarna av det här fördraget, nämligen delarna 1 och 2.
- It is in this twin capacity that the European and Pan-African parliaments are invited to take part in the Africa-EU Strategic Partnership.
- Det är i denna dubbla roll som de europeiska och panafrikanska parlamenten inbjuds att ta del i det strategiska partnerskapet Afrika-EU.
- With one of they regions, we will be off like a long dog, and then our citizens can all take a fuller part in the integration of Europe’.
- Med en sådan region kommer vi verkligen att få en stark ställning och våra medborgare kan ta del i den europeiska integrationen i större utsträckning?
- Now, however, it is up to the highly profitable fuel industry to take part more intensively in this process and to improve the environmental compatibility of motor fuels, so that the burden of costly improvements is not borne by the automobile industry alone.
- Nu är det dock upp till den mycket lönsamma bränsleindustrin att ta mer aktiv del i denna process och förbättra motorbränslenas miljöegenskaper, så att inte bilindustrin ensam får bära bördan av de kostsamma förbättringarna.
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
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 24912 AND
t12.lemma_id = 50774 AND
t21.lemma_id = 10465 AND
t22.lemma_id = 43128),
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;
;