- The existence of common standard instruments and forms, which will be translated into all the official EU languages, will facilitate the relevant authorities’ daily work.
- Gemensamma standardinstrument och standardformulär som kommer att översättas till alla officiella EU-språk kommer att underlätta det dagliga arbetet för de berörda myndigheterna.
- The report promotes the sharing of information about the new regulations and also encourages the dissemination of these processes on information websites that are clear, simple, easy to use and in all the official languages of the European Union.
- I betänkandet förespråkas ett utbyte av information om de nya bestämmelserna samt att information om dessa processer görs tillgänglig via webbsidor som ska vara tydliga, enkla, och användarvänliga och finnas på samtliga officiella EU-språk.
- I tackle the issue of multilingualism in the audiovisual sector, the need to support language teachers, and the extension of language competence indicators to all the official EU languages, without prejudice to their also being extended to other languages spoken and studied in Europe, including classical Greek and Latin.
- Jag tar upp frågan om flerspråkighet inom den audiovisuella sektorn samt behovet av att stödja språklärare och tillämpa indikatorerna för språkkunskap på alla officiella EU-språk, samtidigt som de används på andra språk som talas och studeras inom EU, även klassisk grekiska och latin.
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 = 48820 AND
t12.lemma_id = 48764 AND
t21.lemma_id = 44604 AND
t22.lemma_id = 19896),
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;
;