- I would like to point out that this ’Europe of knowledge’, which we have come to use as a common expression, has to give an account of itself at an international level.
- Jag skulle vilja påminna om att detta kunskapens Europa, vilket vi nu också med tiden kommit att använda som ett gemensamt uttryck, måste återanmäla sig på det internationella planet.
- Although the report attempts to tackle this problem, we feel that it can only be solved if we address the more general issue of electronic copying, especially at an international level, and if we combat the new forms of piracy and forgery which are springing up and going unpunished.
- Trots ansträngningarna i betänkandet att möta detta problem, tror vi att en lösning är möjlig endast genom att se på den nya elektroniska verkligheten som helhet, framför allt på ett internationellt plan, och genom att angripa de nya formerna av piratkopiering och förfalskning, som nu kan utvecklas i stort sett ostraffat.
- At international level, as has been said, a number of conventions, from the 1946 Nuremberg Code to the 1996 European Convention on Bioethics, have already banned any useless genetic manipulation that conflicts with our concept of the human being, such as cloning, implanting a human embryo in the uterus of a different species or vice versa, and so forth.
- På det internationella planet, vilket man har nämnt, har mängder av konventioner, alltsedan Nürnbergkoden från 1946 ända till den Europeiska konventionen om bioetik från 1996, redan förbjudit manipulationer som är onödiga och som strider mot den uppfattning vi har om människan, såsom kloning, såsom implantation av ett mänskligt embryo i en annan arts livmoder eller tvärtom, etc…
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 = 57553 AND
t12.lemma_id = 38968 AND
t21.lemma_id = 675 AND
t22.lemma_id = 51267),
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;
;