data:image/png;base64,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data:image/png;base64,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

unknown word in listwhitespace

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.

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 _

word as spaces

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