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

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 ca:_ sense la primera lletra

All but first of empty word.

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 ca:_ sense la primera paraula

All but first of empty sentence.

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 ca:_ sense la darrera lletra

All but first of empty word.

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 ca:_ sense la darrera paraula

All but last of empty sentence.

pt:a primeira palavra de _ ca:primera paraula de _

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

pt:o último caractere de _ ca:primera lletra de _ 0

pt:a última palavra de _ ca:darrera paraula de _

Last of empty sentence.

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 ca:paraula buida? _ 0

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 ca:frase buida? _

Like JOIN, takes any number of words (text strings) and reports a sentence with its inputs concatenated, but inserts a blank space between the inputs. Consider using SENTENCE (Lists palette) instead.

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ firstbffirst1

1bf

Takes a sentence in list form and reports the sentence as a text string.

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

Takes a sentence in text string form and reports the sentence as a list of its words.

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 _

SENTENCE is the main constructor for sentences, represented as lists of words. It takes zero or more inputs, each of which can be either a list or a text string. If a list, the input is assumed to be a list of words. If a text string, it is converted to a list of words using SENTENCE→LIST. Then all the lists of words are appended to form a new list of words. If the inputs are lists of lists rather than lists of words, SENTENCE, like APPEND, does only one level of flattening, reporting a list of all the items of all the input lists.

ca:frase _

pt:lança o erro _

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation).

ca:notació textual de _ (

)

Helper function for word/sentence library. Reports its first input, unless that input is empty, in which case it gives its second input as an error message.

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

pt:a primeira palavra de _ ca:primera lletra de _

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