- It is necessary also to make generally available technical solutions for emergency situations.
- Det är också nödvändigt att göra tekniska lösningar allmänt tillgängliga i krissituationer.
- Within a short period of time car manufacturers have managed to put forward economically affordable technical solutions, which are significantly fuel-efficient.
- Inom en kort tidsperiod lyckades biltillverkarna skapa prisvärda tekniska lösningar, som verkligen är bränsleeffektiva.
- In other words, you can only get to ’No’ via ’Yes’, which is not a fitting technical solution.
- Med andra ord kan man bara komma fram till Nej via Ja, vilket inte är en lämplig teknisk lösning.
- We are committed to setting out a technical solution which will allow participation by industries of additional countries, in accordance with the particular calendar.
- Vi arbetar för att ta fram en teknisk lösning för att göra det möjligt för industrier i ytterligare länder att delta, i enlighet med den specifika tidsplanen.
- These observations match what my group has long been denouncing, and also, indeed, the technical solutions suggested, i.e. reinforcement of internal auditing, of anti-fraud action, of transparency, and the requirement for the Commission to be accountable.
- Detta är precis vad min grupp sedan länge kritiserat, liksom för övrigt de tekniska lösningar som föreslås, vare sig det gäller att förstärka den interna revisionen, bedrägeribekämpningen, öppenheten eller kommissionens skyldighet att delegera ansvaret.
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 = 8584 AND
t12.lemma_id = 41593 AND
t21.lemma_id = 31164 AND
t22.lemma_id = 33566),
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;
;