data:image/png;base64,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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 strreturn str.slice(1);

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

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 strreturn str.slice(0,-1);

All but last 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

arrreturn new List(arr.asArray().slice(0,-1));

All but last of empty sentence.

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 _ 0

pt:a última palavra de _

Last of empty sentence.

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 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

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.

pt:lança o erro _

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

(

)

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 _

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