data:image/png;base64,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: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 _