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 _

falseList text length1List word number1

-1

List word number1

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