Altmann Quantitative Linguistics Analyzer (AQLA)

Use this tool to calculate the quantitative linguistics indicators of a given piece of text.

See also G. Altmann's Bibliography -
  1. Popescu, I.-I., Lupea, M., Tatar, D., Altmann, G (2015). Quantitative analysis of poetic texts. Berlin/ Boston: Mouton de Gruyter
  2. Sandulescu, C.G., Vianu, L., Popescu, I.-I., Wilson, A., Knight, R., Altmann, G. (2015). Quantifying Joyce’s Finnegans Wake. Glottometrics 30, 45-72, Glottometrics 30 2015 - RAM-Verlag
  3. Popescu, I.-I., Altmann, G. (2015). A simplified lambda indicator in text analysis, Glottometrics 30, 19-44, see at Glottometrics 30 2015 - RAM-Verlag
  4. Popescu, I.-I., Altmann, G. (2014). The lambda structure of language levels, Glottometrics 27, 54-88, see at Glottometrics 27 2014 - RAM-Verlag
  5. Čech, R., Popescu, I.-I., Altmann, G. (2014). Metody kvantitativní analyzy (nejen) básnickych textu, Palacký University, Olomouc, 136 pp., see at Metody kvantitativní analyzy (nejen) básnickych textu
  6. Popescu, I.-I., Zörnig P., Altmann, G. (2013). Arc length, vocabulary richness and text size, Glottometrics 25, 43-53, see at Glottometrics 25, 2013
  7. Popescu, I.-I., Čech, R., Altmann, G. (2011). The Lambda-structure of texts, Lüdenscheid: RAM–Verlag, II + 181 pp., see Studies in Quantitative Linguistics 10
  8. Popescu, I.-I., Mačutek, J., Altmann, G. (2009). Aspects of Word Frequencies, Lüdenscheid: RAM–Verlag. IV + 198 pp, see at Studies in Quantitative Linguistics
  9. Popescu, I.-I., Altmann, G., Grzybek, P., Jayaram, B.D., Köhler, R., Krupa, V., Mačutek, J., Pustet, R., Uhlířová, L., Vidya, M.N. (2009). Word frequency studies. Berlin-New York : Mouton de Gruyter.
  10. Fan, F., Popescu, I.-I., Altmann, G. (2008). Arc length and meaning diversification in English. Glottometrics 17, 79-86, see at Glottometrics 17, 2008
  11. Popescu, I.-I., Mačutek, J., Altmann, G. (2008). Word frequency and arc length. Glottometrics 17, 18-42, see at Glottometrics 17, 2008

Input Text

Comparison Text


Name Value Description
The language of the input text. This is used for character replacements.
If enabled, special characters (such as accented letters) from the specified language will be swapped with their "normalized" (ex. unaccented) versions.
If enabled, all digits (0-9) will be removed before analysis.
If enabled, all lines matching the following regex will be removed before analysis: ^(From|To|Sent|Subject): .*$
If disabled, the input text will be converted to lowercase before analysis.
If enabled, all matches of the regular expression below within the input text will be removed.
Regular expression to remove from input (Python re regex engine, MULTILINE on).
If enabled, the two inputs (maximize the second box) will be compared using an asymptotic test (u).