- However, this report, although probably inspired by the best intentions, occasionally takes a direction which I feel is highly dangerous in that it tends to erase notions of citizenship and legality and turns a multiplicity of exceptions into the common law on which the Community approach is based.
- Men detta betänkande, som förmodligen motiveras av de allra bästa avsikter, går här och var i en riktning som förefaller ytterst riskfylld, då det tenderar att sudda ut begreppen om medborgarskap och legala förhållanden samt skapa en gemensam rätt utifrån en mängd undantag, som en grundval för gemenskapens reflektionsarbete.
- This is why the priority of my group is to get rid of them and to subject the Commission to common law before investigating other solutions such as the institution of a European Public Prosecutor, which would satisfy the Federalist hobby horses but would not contribute a great deal more in relation to the powers of OLAF in the fight against fraud.
- Det är anledningen till att min grupp vill att de skall avskaffas och att kommissionen skall placeras under gemensam rätt, innan andra lösningar eftersträvas, såsom inrättandet av en europeisk åklagare, vilket skulle tillfredsställa de federalistiska käpphästarna men inte tillföra något särskilt till OLAFs befogenheter i kampen mot bedrägerierna.
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 = 63681 AND
t12.lemma_id = 42586 AND
t21.lemma_id = 9823 AND
t22.lemma_id = 41367),
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;
;