- In short, in order to deal with future challenges, it is crucial that we invest more in education.
- För att kunna klara framtida utmaningar måste vi helt enkelt satsa mer på våra barn.
- Madam President, fellow Members, Members of the Commission, we all know that economic globalisation, the international financial crisis and all future challenges must be addressed at the global level.
- Vi vet alla att den ekonomiska globaliseringen, den internationella finanskrisen och alla framtida utmaningar måste hanteras på global nivå.
- As regards the second priority of the French presidency of the EU - the common agricultural policy and its preparation for future challenges - mention should be made that the maintaining of a single-payment system is applicable in Romania as of 2013.
- När det gäller det franska ordförandeskapets andra prioritering - den gemensamma jordbrukspolitiken och dess förberedelse inför framtida utmaningar - bör det nämnas att upprätthållandet av ett system med samlat gårdsstöd är tillämpligt i Rumänien från och med 2013.
- Mr President, every day, thousands of jobs are lost in Europe, and the Europe 2020 strategy is intended to be the EU’s answer to future challenges in this regard and to how we can maintain and strengthen our competitiveness so that we can create growth and more jobs.
- Varje dag går tusentals arbetstillfällen förlorade i EU, och Europa 2020-strategin är avsedd att vara EU:s svar på framtida utmaningar i detta avseende och på hur vi kan bevara och stärka vår konkurrenskraft så att vi kan skapa tillväxt och fler arbetstillfällen.
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 = 19851 AND
t12.lemma_id = 47826 AND
t21.lemma_id = 49451 AND
t22.lemma_id = 17639),
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;
;