- The next item is the Commission communication on questions relating to the work of the European Group on ethics, science and new technologies.
- Nästa punkt på föredragningslistan är kommissionens uttalande om ärenden i samband med arbetet i europeiska gruppen för etik, vetenskap och ny teknologi.
- We should not forget the Cooperation Agreement on social development, state modernisation - a very important question, training, education, the environment and research and development concerning new technology.
- Avtalet glömmer inte samarbetet för social utveckling, modernisering av staten som är en mycket viktig fråga, utbildning, yrkesutbildning, miljö eller forskning och utveckling av ny teknologi.
- Recognizing the importance not only of familiarizing journalists with new technologies, but also of their continuing responsibility for providing reliable, quality information, we particularly emphasize the need for their continuing education and training.
- Vi inser betydelsen av journalisters bekantskap med ny teknologi, men också deras fortsatta ansvar vad gäller trovärdig information av hög kvalitet och understryker så speciellt behovet av deras kontinuerliga utbildning och yrkesinrättande.
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 = 50763 AND
t12.lemma_id = 15618 AND
t21.lemma_id = 43323 AND
t22.lemma_id = 53462),
stats AS (SELECT
sentence_id,
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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
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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
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JOIN typestr USING (type_id)
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ORDER BY w DESC, i, n;
;