- Clearer procedures for the exchange of information in criminal proceedings will enhance cooperation between Member States and improve individual nations’ abilities to combat crime.
- Tydligare förfaranden för utbyte av information i straffrättsliga förfaranden kommer att förbättra samarbetet mellan medlemsstater och förbättra individuella nationers förmåga att bekämpa brottslighet.
- I think the Commission should formulate an animal health action plan to improve its ability to react to such serious animal epizootic diseases by financing research, compensating for losses, giving advances on payments, etc.
- Jag anser att kommissionen bör utforma en handlingsplan för djurhälsa för att förbättra förmågan att reagera på sådana allvarliga epizootiska djursjukdomar genom att finansiera forskning, ersätta förluster, ge förskott på betalningar etc.
- For these reasons, the European Commission’s efforts to go beyond GDP and create a series of data and indicators that will improve its ability to interpret phenomena and help to better define policies and financial allocations should be commended.
- Av dessa skäl bör man lovorda kommissionens satsning på att gå bortom BNP och ta fram en rad uppgifter och indikatorer som förbättrar dess förmåga att tolka företeelser och bidrar till att utformningen av politik och ekonomiska anslag förbättras.
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 = 34382 AND
t12.lemma_id = 47455 AND
t21.lemma_id = 57806 AND
t22.lemma_id = 49998),
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;
;