- We need simple and clear rules, consistently and rigorously applied’.
- Vi behöver enkla och tydliga regler som tillämpas enhetligt och omsorgsfullt.”
- it is a market in its own right, needing its own rules if it is to retain and develop its diversity.
- den är en marknad i sig, som behöver egna regler för att kunna bibehålla och utveckla sin mångfald.
- Madam President, many of my fellow Members believe we need strict rules for dealing with plant protection agents, and they are right, but at the same time we must not ignore the impact of the legislation we adopt.
- Många av mina kolleger anser att vi behöver strikta regler för hantering av växtskyddsmedel och det har de rätt i, men samtidigt får vi inte bortse från effekterna av den lagstiftning som vi antar.
- I am also pleased that quite a number of sensitive areas, namely social services, health services and temping agencies, do not fall within the scope of this directive because they, of course, need stricter rules if they are not simply to be at the mercy of the free provision of services.
- Jag är också nöjd med att ett betydande antal känsliga områden, nämligen sociala tjänster, hälso- och sjukvård och bemanningsföretag, inte faller inom ramen för detta direktiv eftersom de självklart behöver strängare regler om de inte ska vara utelämnade åt det fria tillhandahållandet av tjänster.
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 = 18487 AND
t12.lemma_id = 61804 AND
t21.lemma_id = 3809 AND
t22.lemma_id = 41335),
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;
;