- In that respect, the achievements of the Temporary Committee are therefore exemplary.
- I det avseendet är resultaten från det tillfälliga utskottet exemplariska.
- The Temporary Committee on Human Genetics and Other New Technologies in Modern Medicine did not reach the destination I expected.
- Det tillfälliga utskottet för humangenetik och den nya tekniken inom medicinen har inte nått de mål som jag förväntade mig.
- Over the past year in the Temporary Committee on Human Genetics and Other New Technologies we discussed various ways of finding answers to these medical problems.
- Under det gångna året i det tillfälliga utskottet för humangenetik och annan ny teknik inom den moderna medicinen, diskuterade vi olika sätt att nå lösningar på dessa medicinska problem.
- Report A5-0391/2001 by Mr Fiori, on behalf of the Temporary Committee on Human Genetics and Other New Technologies in Modern Medicine, on the ethical, legal, economic and social implications of human genetics 2001/2097(INI)
- Betänkande A5-0391/2001 av Fiori för tillfälliga utskottet för humangenetik och annan ny teknik inom den moderna medicinen om humangenetikens etiska, juridiska, ekonomiska och sociala följder(2001/2097(INI))
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 = 17477 AND
t12.lemma_id = 65175 AND
t21.lemma_id = 56828 AND
t22.lemma_id = 40163),
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;
;