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 ca:_ sense la primera lletra

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 ca:_ sense la primera paraula

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 ca:_ sense la darrera lletra

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 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 ca:_ sense la darrera paraula

All but last of empty sentence.

pt:a primeira palavra de _ ca:primera paraula de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ ca:primera lletra de _ 0

pt:a última palavra de _ ca:darrera paraula de _

Last of empty sentence.

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 ca:paraula buida? _ 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 ca:frase buida? _

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.

ca:frase _

pt:lança o erro _

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

ca:notació textual de _ (

)

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 _ ca:primera lletra de _

slot,letterlist

slot

slot1false

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,Texas,Alaska,Australia,Cabo,India,Pakistan,South Korea,California,Srilanka,Bangladesh,Everest,NorwayPercy jackson,Jack,Mocking bird,Hunger games,Harry potter,Kane chronicles.,Moby Dick,Little women,Great Gatsby,Frakenstein,Tom sawyer,Anna Karenina,Beloved,Hobbit,Game of thronesMichael Jackson,Beyonce,madonna,justin bieber,elvis presley,david bowie,lady gaga,ariana grande,weeknd,katy perry,taylor swift,shakira,oprah winfrey,selena gomez,elton john123Alaska000000