Apertium has moved from SourceForge to GitHub.
If you have any questions, please come and talk to us on #apertium on irc.freenode.net or contact the GitHub migration team.

Comparison of part-of-speech tagging systems

From Apertium
(Difference between revisions)
Jump to: navigation, search
Line 8: Line 8:
 
!rowspan=2|Language !!colspan=2|Corpus !!colspan=6|System
 
!rowspan=2|Language !!colspan=2|Corpus !!colspan=6|System
 
|-
 
|-
! Sent !! Tok !! 1st !! CG+1st !! Unigram || CG+Unigram || apertium-tagger || CG+apertium-tagger
+
! Sent !! Tok !! 1st !! CG+1st !! Unigram || CG+Unigram || apertium-tagger || CG+apertium-tagger
 
|-
 
|-
| Catalan || 1,413 || 24,144 || 81.85 || 83.96 || [75.65, 78.46]|| [87.76, 90.48] || [94.16, 96.28] || [93.92, 96.16]
+
| Catalan || 1,413 || 24,144 || 81.85 || 83.96 || [75.65, 78.46]|| [87.76, 90.48] || [94.16, 96.28] || [93.92, 96.16]
 
|-
 
|-
| Spanish || 1,271 || 21,247 || 86.18 || 86.71 || [78.20, 80.06] || [87.72, 90.27] || [90.15, 94.86] || [91.84, 93.70]
+
| Spanish || 1,271 || 21,247 || 86.18 || 86.71 || [78.20, 80.06] || [87.72, 90.27] || [90.15, 94.86] || [91.84, 93.70]
 
|-
 
|-
| Kazakh || 403 || 4,348 || 80.25 || 86.13 || [83.55, 86.19] || [83.33, 86.61] || n/a || n/a
+
| Serbo-Croatian || 1,190 || 20,128 || 75.22 || 79.67 || [75.36, 78.79] || [75.36, 77.28] || ||
  +
|-
  +
| Kazakh || 403 || 4,348 || 80.25 || 86.13 || [83.55, 86.19] || [83.33, 86.61] || n/a || n/a
 
|-
 
|-
 
|}
 
|}

Revision as of 17:53, 21 December 2015

Contents

Apertium would like to have really good part-of-speech tagging, but in many cases falls below the state-of-the-art (around 97% tagging accuracy). This page intends to collect a comparison of tagging systems in Apertium and give some ideas of what could be done to improve them.

In the following table, the intervals represent the [low, high] values from 10-fold cross validation.

Language Corpus System
Sent Tok 1st CG+1st Unigram CG+Unigram apertium-tagger CG+apertium-tagger
Catalan 1,413 24,144 81.85 83.96 [75.65, 78.46] [87.76, 90.48] [94.16, 96.28] [93.92, 96.16]
Spanish 1,271 21,247 86.18 86.71 [78.20, 80.06] [87.72, 90.27] [90.15, 94.86] [91.84, 93.70]
Serbo-Croatian 1,190 20,128 75.22 79.67 [75.36, 78.79] [75.36, 77.28]
Kazakh 403 4,348 80.25 86.13 [83.55, 86.19] [83.33, 86.61] n/a n/a


Todo

Personal tools