- You will see huge problems soon.
- Ni kommer snart att få se enorma problem.
- Alongside this general criticism of the FFH directive, however, I also see a particular problem with the amalgamation of the EU environmental and structural policies.
- Vid sidan av denna allmänna kritik av direktivet om bevarande av livsmiljöer samt vilda djur och växter ser jag dock ett särskilt problem när EU:s miljöpolitik och strukturpolitik blandas ihop.
- I recently chaired a committee of inquiry into Equitable Life and we saw very clearly the problems of uneven transposition in the financial services area and the need for the Commission to improve its oversight.
- Jag var nyligen ordförande för undersökningskommittén beträffande krisen i bolaget Equitable Life Assurance Society, och vi såg mycket tydligt problemen med det ojämna införlivandet på området för finansiella tjänster och behovet av att kommissionen skärper sin tillsyn.
- I see a problem in the various legal interpretations in the Member States due to the partially unclear definitions in the EU legislation, whilst, on the other hand, there is a lack of strong subsidiary aspects and approaches.
- Jag ser problem med de olika rättstolkningarna på grund av den delvis oklara definitionen i EU:s lagstiftning i medlemsstaterna, men å andra sidan saknas det också starka subsidiära aspekter och ansatser.
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 = 35422 AND
t12.lemma_id = 13883 AND
t21.lemma_id = 61996 AND
t22.lemma_id = 13883),
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;
;