data:image/png;base64,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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 es:todos menos la primera letra de _

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 es:todas menos la primera palabra de _

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 es:todos menos la última letra de _

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 es:todos menos la última palabra de _

All but last of empty sentence.

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

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

pt:o último caractere de _ ca:primera lletra de _ es:última letra de _ 0

pt:a última palavra de _ ca:darrera paraula de _ es:última palabra 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? _ es:¿palabra vacía? _ 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? _ es:¿oración vacía? _

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 _ es:oración _

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 _ es:imprimible _ (

)

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.

es:requerir no vacío _ _

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

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

Item1HostAssistanttrueAssistanttrueHostWin check

Host

true

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