- Our group will use its opportunities to influence the Community budget for the creation of a basis for a European refugee fund.
- Vår grupp kommer att använda sina möjligheter att påverka gemenskapens budget för att skapa en grund för en europeisk flyktingfond;
- Commissioner Monti, what are you doing, besides using the opportunities presented under the sixth framework programme, with regard to this work, acutely serious and extremely important as it is to us all, in this highly technical, modern area?
- Kommissionär Monti, vad gör ni utöver det att ni använder möjligheterna i enlighet med det sjätte ramprogrammet i detta för oss alla akuta och mycket viktiga arbete, i denna mycket tekniska och moderna bransch?
- The Hungarian Fidesz delegation abstained from final voting on this law because so far, Hungary has been able to transpose legislation correctly, there were no problems, and by using the opportunities provided by Schengen, we were able to provide this more efficiently.
- Den ungerska Fidesz-delegationen avstod från den slutliga omröstningen om denna lag, för hittills har Ungern kunnat införliva lagstiftningen korrekt utan problem, och genom att använda de möjligheter som Schengen ger har vi kunnat åstadkomma detta på ett mer effektivt sätt.
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 = 51062 AND
t12.lemma_id = 55940 AND
t21.lemma_id = 60207 AND
t22.lemma_id = 61977),
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;
;