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 _

aourhgirughiuargaouerghkaehrgbiurgaoieoaeruhg