- So much for the ugly facade of the directive on recognition, which is designed to sweep away 35 old rulings in order to create greater clarity and legal certainty.
- Nog om erkännandedirektivets hemska språkdräkt, ett direktiv vars syfte är att sopa undan 35 gamla bestämmelser för att skapa större klarhet och ökad rättssäkerhet.
- As regards the map showing risk areas, the committee believes that the pictorial representation of areas adjacent to the establishments subject to accident risks would be an effective, easily comprehensible measure for all the citizens concerned, who are entitled to greater clarity in this regard.
- När det gäller riskinventeringen hävdar kommissionen att en grafisk återgivning av områdena som omger de anläggningar som riskerar att drabbas av olyckor skulle vara effektiv och begriplig för alla de berörda medborgarna, som har rätt att få större klarhet i frågan.
- The broad economic policy guidelines must continue to focus on social and regional cohesion and on convergence in real terms, but there must be greater clarity as to which policy mix will actually prove successful, as we need strong synergy effects between, on the one hand, the necessary structural reforms and, on the other, investment and macro-economic policies aimed at stability and growth.
- De allmänna riktlinjerna för den ekonomiska politiken måste fortsätta att sätta social och regional sammanhållning och verklig konvergens i främsta rummet, men det måste råda större klarhet om vilken politisk blandning som verkligen kan lyckas, då vi måste ha starka synergieffekter mellan å ena sidan nödvändiga strukturreformer, och å andra sidan investeringar och politik på det makroekonomiska planet.
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 = 15455 AND
t12.lemma_id = 43163 AND
t21.lemma_id = 43118 AND
t22.lemma_id = 35323),
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;
;