- the European Union can only present itself as a responsible and coherent international actor in this area and can only lead the work to improve international legislation if it is seen as a model to be followed.
- Endast om EU betraktas som en modell som är värd att ta efter kan vi framstå som en ansvarsfull och konsekvent internationell aktör inom detta område och leda arbetet med att förbättra den internationella lagstiftningen.
- Unfortunately, we have to establish that the largest producers of small arms and light weapons, namely the US, Russia and China, are also the most fervent opponents to international legislation in the style of Ottawa.
- Tyvärr måste vi fastställa att de största producenterna av handeldvapen och lätta vapen, Förenta staterna, Ryssland och Kina, också är de största motståndarna till en internationell lagstiftning enligt Ottawafördraget.
- The European Union considers - as we will say once again later - that this report is a reliable analysis, and the European Union stressed the importance of conducting adequate, reliable research into the possible violations of international human rights legislation and international humanitarian law.
- Europeiska unionen anser - vilket vi kommer att upprepa senare - att denna rapport är en tillförlitlig analys, och EU har betonat vikten av att utföra adekvat och tillförlitlig forskning om eventuella överträdelser av internationell lagstiftning om mänskliga rättigheter och internationell humanitär rätt.
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 = 6485 AND
t12.lemma_id = 38968 AND
t21.lemma_id = 25910 AND
t22.lemma_id = 51267),
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;
;