Text segmentation

Under morphological analysis is understood in computational linguistics a method which determines the morphological, syntactical and semantic characteristics of any words. In detail, morphological analysis method to solve the following tasks:

Problems

  • Regular and irregular allomorphy Regular allomorphy, for example, the insertion of e in verbs with certain strains, such as " expect " - " crunching ", but " love" - " love ". This includes the affection of vowels in plural noun ( "Forest " - " Forests" ) or comparative and superlative of adjectives ( " red " - " redder ").
  • Irregular allomorphy is for example the ablaut ( " sing " - " sang " - " sung " ) or ( "think" - " thought " ) with regular changes.

Method

Most processes for the morphological analysis are based on finite state machines, more finite transducers. The theoretical model used is usually the so-called two- level model ( Koskeniemi ), mediate in the quasi- context sensitive rules between the lexical form of a morpheme and its surface form ( morph). Such a rule could, for example, for the German look like this:

  • ε → e / ( ppn | chn | tm | d | tt ) { VERBSTEM } _ ( n | t | st ) { } VERBFLEX

"Save This rule allows the replacement of the empty word by e ( ie effectively an insertion of e) after a verb stem to ppn, chn, tm, d or dd ( " arm " ," expect "," breathe ", " start ", " ) before the verbal reflexive n, t or st. Example: " calc " "n " → "calculate".

Umlaut (linguistics) Apophony Finite-state machine Finite state transducer Empty string
582671
de