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external:addicter [2011/05/16 07:04]
mphi
external:addicter [2011/05/22 09:31] (current)
mphi
Line 4: Line 4:
  
 This page lies in the external name space and is intended for collaboration with people outside of ÚFAL. This page lies in the external name space and is intended for collaboration with people outside of ÚFAL.
 +
 +==== TODOs ====
 +  * test alignment with synonym detection (cz_wn required) = separating ''lex::'' and ''disam::''
 +  * try misplaced phrase detection
 +    * parse the reference, extrapolate unto the hypothesis via word alignment, get phrases from there
 +    * group adjacent words aligned to the same word? (imitation)
 +  * order evaluation
 +    * currently finds misplaced items, but their shift distances are off
 +    * not important for ''ows'' vs ''owl'', but
 +      * to fix -- for every misplaced token
 +        * if it (and only it) were to be moved in the original permutation, what would be the best place?
 +        * evaluate with nr. of intersections
 +  * try domain adaptation for word alignment with the "via source" alignment (EMNLP 2011 paper)
 +  * technical
 +    * comb and comment the code
 +    * add help files
 +    * integrate with the rest of Addicter
 +  * approach applicable to learner's corpora
 +    * see Anne Lüdelig, TLT9
 +  * try Blast (Sara's program for translation error markup)
 +  * alternative to reference-based evaluation: "Inconsistencies in Penn parsing", M. Dickinson
  
 ==== Word Alignment -- Progress and Results ==== ==== Word Alignment -- Progress and Results ====
 +
 +=== Latest best results ===
 +[[http://mtj.ut.ee/addicter-best.txt|txt]]
  
 === Alternative model comparison === === Alternative model comparison ===
-||             || Precision/Recall/F-score: |||||||| 
-||                               || Lex      || Order    || Punct    || Miss     || 
-|| meteor    ||0.092/0.251/**0.135** ||0.047/0.229/**0.078** ||0.248/0.665/**0.361** ||0.020/0.382/**0.038** || 
-|| ter*      ||0.106/0.387/**0.167** ||0.025/0.191/**0.044** ||0.132/0.936/**0.232** ||0.026/0.170/**0.046** || 
-|| hmm       ||0.162/0.426/**0.234** ||0.069/0.309/**0.112** ||0.281/0.793/**0.415** ||0.025/0.400/**0.047** || 
-|| lcs       ||0.168/0.462/**0.247** ||0.000/0.000/**0.000** ||0.293/0.848/**0.435** ||0.026/0.374/**0.049** || 
-|| gizadiag* ||0.183/0.512/**0.270** ||0.044/0.250/**0.075** ||0.285/0.784/**0.417** ||0.038/0.224/**0.065** || 
-|| gizainter ||0.170/0.483/**0.252** ||0.049/0.137/**0.072** ||0.284/0.878/**0.429** ||0.029/0.409/**0.054** || 
-|| berkeley* ||0.200/0.540/**0.291** ||0.050/0.330/**0.087** ||0.292/0.844/**0.434** ||0.039/0.267/**0.068** || 
  
-=== Explicit wrong lex choice detection ===+hmm lightweight direct alignment method (in our ACL/TSD article) 
 +gizainter GIZA++, intersection -- applied to hypotheses+references directly 
 +gizadiag GIZA++, grow-diag -- applied to hypotheses+references directly 
 +czenginter align source+CzEng to reference+CzEng, and source+CzEng to hypotheses+CzEng with GIZA++, intersection, extract hypothesis-reference alignments from there ("Dan's method"
 +czengdiag same, but with GIZA++ grow-diag
  
-align input+czeng to reference+czeng and input+czeng to hypotheses+czeng +|               Precision/Recall/F-score:     ^^^^ 
-extract hypothesis-to-reference alignments from there+|                    Lex                 Order        ^         Punct        ^         Miss         ^ 
 +^ ter     |0.106/0.387/**0.167** |0.025/0.191/**0.044** |0.132/0.936/**0.232** |0.026/0.170/**0.046** | 
 +^ meteor    |0.092/0.251/**0.135** |0.047/0.229/**0.078** |0.248/0.665/**0.361** |0.020/0.382/**0.038** | 
 +^ hmm       |0.162/0.426/**0.234** |0.069/0.309/**0.112** |0.281/0.793/**0.415** |0.025/0.400/**0.047** | 
 +^ lcs       |0.168/0.462/**0.247** |0.000/0.000/**0.000** |0.293/0.848/**0.435** |0.026/0.374/**0.049** | 
 +^ gizainter |0.170/0.483/**0.252** |0.049/0.137/**0.072** |0.284/0.878/**0.429** |0.029/0.409/**0.054** | 
 +^ gizadiag* |0.183/0.512/**0.270** |0.044/0.250/**0.075** |0.285/0.784/**0.417** |0.038/0.224/**0.065** | 
 +^ czengdiag* |0.187/0.514/**0.275** |0.069/0.455/**0.120** |0.230/0.883/**0.365** |0.035/0.234/**0.061** | 
 +^ berkeley* |0.200/0.540/**0.291** |0.050/0.330/**0.087** |0.292/0.844/**0.434** |0.039/0.267/**0.068** | 
 +^ czenginter |0.197/0.543/**0.290** |0.108/0.475/**0.176** |0.233/0.926/**0.372** |0.032/0.402/**0.060** |
  
-|| border=1 +* non-1-to-1 alignments, converted to 1-to-1 via "align-hmm.pl -x -a ..."
-||             || Precision/Recall/F-score: |||||||| +
-||                               || Lex      || Order    || Punct    || Miss     || +
-|| czengdiag* ||0.187/0.514/**0.275** ||0.069/0.455/**0.120** ||0.230/0.883/**0.365** ||0.035/0.234/**0.061** || +
-|| czenginter ||0.197/0.543/**0.290** ||0.108/0.475/**0.176** ||0.233/0.926/**0.372** ||0.032/0.402/**0.060** ||+
  
-=== alignment combinations via weighed HMM ===+=== Alignment combinations === 
 +via weighed HMM
  
 +|                     Precision/Recall/F-score:     ^^^^
 +|                     Lex         Order         Punct         Miss     ^
 +^ ter+hmm         |0.116/0.402/**0.180** |0.030/0.184/**0.051** |0.145/0.912/**0.251** |0.026/0.181/**0.046** |
 +^ meteor+hmm      |0.162/0.426/**0.234** |0.068/0.309/**0.112** |0.286/0.794/**0.421** |0.025/0.400/**0.047** |
 +^ gizadiag+hmm    |0.186/0.515/**0.273** |0.040/0.215/**0.067** |0.297/0.836/**0.438** |0.039/0.238/**0.067** |
 +^ gizainter+hmm   |0.194/0.505/**0.281** |0.062/0.282/**0.101** |0.299/0.806/**0.436** |0.033/0.382/**0.061** |
 +^ berkeley+hmm    |0.203/0.548/**0.297** |0.049/0.320/**0.085** |0.290/0.816/**0.428** |0.041/0.277/**0.071** |
 +^ czengdiag+hmm   |0.190/0.517/**0.278** |0.073/0.457/**0.126** |0.291/0.841/**0.432** |0.039/0.238/**0.067** |
 +^ czenginter+hmm  |0.214/0.545/**0.307** |0.093/0.525/**0.158** |0.304/0.818/**0.443** |0.038/0.363/**0.068** |
 +| |||||
 +^ berk+czengint+hmm |0.219/0.568/**0.316** |0.070/0.432/**0.120** |0.298/0.817/**0.436**|0.048/0.290/**0.082** |
 +^ berk+czengint+gizaint+hmm |0.220/0.569/**0.317** |0.068/0.420/**0.118** |0.298/0.812/**0.436**|0.048/0.290/**0.083** |
 +^ berk+czengint+meteor+hmm |0.220/0.569/**0.317** |0.070/0.440/**0.121** |0.295/0.810/**0.433**|0.048/0.290/**0.083** |
 +^ berk+czengint+meteor+gizaint+hmm |0.221/0.571/**0.318** |0.068/0.424/**0.118** |0.298/0.808/**0.436** |0.049/0.292/**0.084** |
  
-|| border=1 
-||             || Precision/Recall/F-score: |||||||| 
-||                               || Lex      || Order    || Punct    || Miss     || 
-|| meteor+hmm ||0.162/0.426/**0.234** ||0.068/0.309/**0.112** ||0.286/0.794/**0.421** ||0.025/0.400/**0.047** || 
-|| ter+hmm ||0.116/0.402/**0.180** ||0.030/0.184/**0.051** ||0.145/0.912/**0.251** ||0.026/0.181/**0.046** || 
-|| gizadiag+hmm ||0.186/0.515/**0.273** ||0.040/0.215/**0.067** ||0.297/0.836/**0.438** ||0.039/0.238/**0.067**|| 
-|| gizainter+hmm ||0.194/0.505/**0.281** ||0.062/0.282/**0.101** ||0.299/0.806/**0.436** ||0.033/0.382/**0.061**|| 
-|| berkeley+hmm ||0.203/0.548/**0.297** ||0.049/0.320/**0.085** ||0.290/0.816/**0.428** ||0.041/0.277/**0.071**|| 
-|| czengdiag+hmm ||0.190/0.517/**0.278** ||0.073/0.457/**0.126** ||0.291/0.841/**0.432** ||0.039/0.238/**0.067**|| 
-|| czenginter+hmm ||0.214/0.545/**0.307** ||0.093/0.525/**0.158** ||0.304/0.818/**0.443** ||0.038/0.363/**0.068** || 
-|| |||||||||| 
-|| berkeley+czenginter+hmm ||0.219/0.568/**0.316** ||0.070/0.432/**0.120** ||0.298/0.817/**0.436**||0.048/0.290/**0.082** || 
-|| berkeley+czenginter+gizainter+hmm ||0.220/0.569/**0.317** ||0.068/0.420/**0.118** ||0.298/0.812/**0.436**||0.048/0.290/**0.083** || 
-|| berkeley+czenginter+meteor+hmm ||0.220/0.569/**0.317** ||0.070/0.440/**0.121** ||0.295/0.810/**0.433**||0.048/0.290/**0.083** || 
- 
-==== TODOs ==== 
-  * try domain adaptation for word alignment, EMNLP 2011 paper 
-  * test alignment with synonym detection (cz_wn required) = separating @@lex@@ and @@disam@@ 
-  * order evaluation 
-    * a lot of background research 
-    * currently finds misplaced items, but their shift distances are off 
-      * to fix -- for every misplaced token 
-        * if it (and only it) were to be moved in the original permutation, what would be the best place? 
-        * evaluate with nr. of intersections 
-  * comb and comment the code 
-  * add help files 
-  * integrate with the rest of Addicter 
-  * learner's corpus 
-    * see Anne Lüdelig, TLT9 
-  * adapt to Sara's program 
-  * alternative to reference-based evaluation: "Inconsistencies in Penn parsing", M. Dickinson 
  

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