- To strengthen the Convention on Biological and Toxin Weapons is still one of the Council’s priorities in the field of health.
- Att förstärka konventionen om bakteriologiska (biologiska) vapen och toxinvapen är fortfarande en prioriterad fråga för rådet på området för folkhälsa.
- Mr President, ladies and gentlemen, my group is of course in favour of a general, worldwide ban on the production and use of biological weapons and on trade in them, and we hope that the forthcoming Geneva Conference will decide to strengthen the relevant international conventions.
- Min grupp är naturligtvis för ett allmänt världsomfattande förbud mot produktion och användning av biologiska vapen eller handel med dessa vapen, och vi hoppas att man kommer att besluta sig för att förstärka de tillämpliga internationella konventionerna vid den kommande konferensen i Genève.
- The European Union therefore regrets that, after six years of negotiations on the basis of a unanimously agreed mandate, the 5th review conference of the Convention on Biological and Toxin Weapons has not managed to adopt either a final declaration or a document with concrete measures to strengthen that Convention.
- Därför beklagar Europeiska unionen att man efter sex års förhandlingar på grundval av ett mandat som beslutades enhälligt inte ens lyckades anta en slutlig förklaring eller ett dokument med konkreta åtgärder för att förstärka denna konvention vid den femte konferensen för översyn av konventionen.
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 = 46411 AND
t12.lemma_id = 29798 AND
t21.lemma_id = 42813 AND
t22.lemma_id = 24150),
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;
;