- I hope that you will receive a positive response.
- Jag hoppas att ni kommer att få ett positivt svar.
- The interim government has received a positive response from the international community.
- Interimsregeringen har fått ett bra svar från den internationella gemenskapen.
- I drew the attention of the European Commission to this issue in July 1999, and received a positive response.
- I juli 1999 påkallade jag Europeiska kommissionens uppmärksamhet om detta och fick då ett positivt svar.
- This is an area affected by questions of security and we have so far received no response from the Algerian Government, for reasons that are clearly understandable, on how to implement these local development initiatives.
- Detta är en fråga där säkerhetsaspekter inverkar, och för närvarande har vi inte fått något svar från den algeriska regeringen, av lättförståeliga skäl, om hur dessa kommunala utvecklingsinitiativ skall förverkligas.
- Firstly, when the Utilities Directive 93/38 comes up for review next year but also when we receive the Commission’s response to the Green Paper when that comes before Parliament early in 1998.
- För det första när direktivet 93/38 om gas, vatten och el, kommer upp för översyn nästa år, men också när vi får kommissionens svar på grönboken, när den läggs fram för parlamentet i början av 1998.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 47303 AND
t12.lemma_id = 28238 AND
t21.lemma_id = 16661 AND
t22.lemma_id = 50321),
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;
;