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data:image/png;base64,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

false

true

Takes a text string as input, and reports a new text string containing all but the first character of the input.

pt:_ sem o primeiro caractere resulti2

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a primeira palavra

Takes a text string as input, and reports a new text string containing all but the last letter of the input.

pt:_ sem o último caractere resulti1

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a última palavra 1 1 11 1

pt:a primeira palavra de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _

pt:a última palavra de _ 1 1

Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

pt:a palavra _ está vazia

Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

pt:a frase _ está vazia

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ 121

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _ pt:uma frase com as palavras em _

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _

report a list in which each item is one letter from the input word

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _ pt:uma lista com os caracteres da palavra _

join all the items of the input list into a single word, and report it

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _ pt:uma palavra com os caracteres em _

89,67,5,90,-2,0,190,844719090 ,-2 ,0 ,190 ,8