- However, where any weaknesses are identified specific recommendations are made after each inspection to further improve the controls.
- När brister upptäcks utfärdas emellertid specifika rekommendationer efter varje inspektion i syfte att förbättra kontrollerna ytterligare.
- Similarly, the Commission also broadly shares other, more specific recommendations, such as the importance of supporting the development of arts and crafts, rural training centres and domestication of wildlife.
- Kommissionen stöder likaså i stora drag andra, mer specifika rekommendationer, såsom vikten av att stödja utveckling av framställning av konsthantverk och keramik, inrättande av utbildningscentra på landsbygden och domesticering av vilda arter.
- Why is it simply disregarding the specific recommendations, in particular, of such an important factual report - its own report, at that - knowing that the current developments are irreversible and, in so doing, even casting serious doubt on the chances of establishing an independent, viable Palestinian State alongside the State of Israel?
- Varför bortser man helt enkelt från de specifika rekommendationerna i en så viktiga faktarapport - dessutom en egen rapport - då man vet att den nuvarande utvecklingen är oåterkallelig och, när man gör det, till och med kastar allvarliga tvivel över möjligheterna att etablera en oberoende, livskraftig palestinsk stat vid sidan av staten Israel?
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 = 57177 AND
t12.lemma_id = 265 AND
t21.lemma_id = 61782 AND
t22.lemma_id = 28011),
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;
;