- If we cannot answer this question, Google, I am afraid, will be the only player able to meet the needs of the libraries themselves.
- Om vi inte kan svara på den frågan är jag rädd att Google kommer att bli den enda aktör som kan möta behoven från biblioteken.
- The introduction by the European Union of the temporary international funding mechanism TIM in June 2006 has played a significant part in meeting the most urgent needs of the beleaguered Palestinian population.
- EU:s inrättande av den tillfälliga internationella finansieringsmekanismen TIM i juni 2006 har spelat en viktig roll för att möta den belägrade palestinska befolkningens mest akuta behov.
- to verify that the agreement on lifesaving medicines is being properly enforced, that the agreement is having the desired effect, that it is meeting the needs of the weakest of the weak;
- Vi måste få bekräftat att avtalet om livräddande läkemedel genomförs korrekt, att avtalet får önskad effekt och att det kan möta de allra mest utsattas behov.
- All this calls for a profound change in the CAP that will guarantee food security and sovereignty, giving priority to the need for countries and regions to develop production to meet their needs, while promoting environmental sustainability and rural development;
- Allt detta manar till en djupgående förändring av den gemensamma jordbrukspolitiken som garanterar livsmedelssäkerheten och suveräniteten, prioriterar länders och regioners behov att utveckla produktionen för att möta sina behov och samtidigt främjar miljömässig hållbarhet och landsbygdsutveckling, främjar en mer diversifierad produktion och hindrar den från att minska, samtidigt som den erkänner de olika sektorernas och regionernas särskilda egenskaper.
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 = 18743 AND
t12.lemma_id = 18487 AND
t21.lemma_id = 47457 AND
t22.lemma_id = 23045),
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;
;