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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 _

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ ca:vestit amb el text _ i mida _ A72

§_costumesMenu2002Use this block to make "clickable" buttons:

de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ pt:fala _ na língua _ _ com tom _ e velocidade _ ca:digues _ amb accent _ _ to _ i velocitat _ Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11

de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ und warte pt:fala _ na língua _ _ com tom _ e velocidade _ , e espera ca:digues _ amb accent _ _ to _ velocitat _ i espera Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11

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_, _, _, _, _, _, _, _6