- Furthermore, we refuse to join in the congratulations addressed to the French authorities.
- I övrigt vägrar vi att sälla oss till gratulationerna till de franska myndigheterna.
- In the reply made on 9 April 1998, the French authorities described the measures they considered appropriate for complying with their obligations.
- I december fördömde EG-domstolen de franska myndigheternas passivitet när det gäller att hindra dessa attacker.
- In the run-up to the NATO summit, the French authorities have turned the centre of Strasbourg into an off-limits zone and activated the facility provided for in the Schengen Convention in order to prevent peace demonstrators from entering France.
- Inför Natomötet har de franska myndigheterna spärrat av Strasbourgs centrum och använt sig av de möjligheter som finns i Schengenavtalet för att hindra fredsdemonstranter att ta sig in i Frankrike.
- It is up to the other institutions to decide on the validity of the legal premises and, in particular, on the health grounds given by the French authorities.
- Det är faktiskt upp till andra institutioner att fatta beslut om de rättsliga och, framför allt, sanitära motiv som de franska myndigheterna har anfört, och vi väntar därför med spänning på den presskonferens som kommissionär Byrne skall hålla i dag på eftermiddagen.
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 = 35048 AND
t12.lemma_id = 480 AND
t21.lemma_id = 54674 AND
t22.lemma_id = 58390),
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;
;