- I agree with the proposal to widen the scope of the Socrates programme to include adults who have left the education system without qualifications.
- Å andra sidan instämmer jag i det förslag som utvidgar Sokratesprogrammets tillämpningsområde till de vuxna som har lämnat utbildningssystemet utan behörighet.
- The Foreign Ministers also reaffirmed that they did not wish to leave the people of the Gaza Strip without humanitarian assistance in their present distress.
- Utrikesministrarna slog också fast att de inte vill lämna människorna på Gazaremsan utan humanitär hjälp i deras nuvarande svåra situation.
- Of course, we may protest, arguing that helpless people cannot be treated like cattle, that they cannot be driven out of their homes with no rhyme or reason, and be left without any help.
- Givetvis kan vi protestera och argumentera att hjälplösa människor inte får behandlas som boskap, att de inte får fördrivas från sina hem utan rim och reson och lämnas utan hjälp.
- I would like to draw attention to the fact that, as provided for in the new Europe 2020 strategy, it is necessary to take measures as soon as possible to reduce the number of students leaving school without qualifications.
- Jag vill framhålla att det är nödvändigt att vidta åtgärder så snart som möjligt för att minska antalet elever som lämnar skolan utan kvalifikationer, vilket också föreskrivs i den nya EU 2020-strategin.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 34814 AND
t12.lemma_id = 29523 AND
t21.lemma_id = 61048 AND
t22.lemma_id = 45514),
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;
;