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

woord

woorday

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 _

aan0