- Their young counterparts, Palestinian and Israeli, have no such positive experience.
- Deras unga motsvarigheter i Palestina och Israel har inga sådana positiva erfarenheter.
- I hope this resolution will give an added impetus to the Union’s dealings with this troubled region and the positive experience that we can bring to its future.
- Jag hoppas att resolutionen kommer att ge ytterligare kraft åt unionens hantering av denna oroliga region och åt de positiva erfarenheter som vi kan bidra med för framtiden.
- In this context Romania has an extremely positive experience as it awards scholarships to pupils and students from the Republic of Moldova and the South-Western Ukraine.
- I detta sammanhang har Rumänien en oerhört positiv erfarenhet eftersom landet beviljar stipendier till elever och studenter från Moldova och sydvästra Ukraina.
- I also wish to point out the recommendation concerning the transfer of positive experience from the older Member States to the newer Member States to avoid such failures in development cooperation, such as failure in achieving its goal, inefficiency and opening opportunities for corruption in the beneficiary states.
- Jag vill också lyfta fram rekommendationen om överföringen av positiva erfarenheter från de äldre medlemsstaterna till de nyare medlemsstaterna, för att undvika brister i utvecklingssamarbetet som t.ex. misslyckande att nå målet, ineffektivitet och nya möjligheter till korruption i mottagarstaterna.
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 = 43501 AND
t12.lemma_id = 62453 AND
t21.lemma_id = 43435 AND
t22.lemma_id = 14546),
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;
;