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user:zeman:treebanks:te [2012/03/22 11:46]
zeman ICON 2009 Telugu data size.
user:zeman:treebanks:te [2012/03/22 17:06]
zeman Inside.
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 | TOTAL        1756 |  6752 | 3.85 | | TOTAL        1756 |  6752 | 3.85 |
  
-The data distributed for ICON 2010 was slightly smallermaybe it had been cleaned up? Note that the number of training words, 7602, is identical to the number published for ICON 2009I cannot verify it because I only see chunks, not words in the CoNLL data format.+As for ICON 2010, the data description in [[http://ltrc.iiit.ac.in/nlptools2010/files/documents/toolscontest10-workshoppaper-final.pdf|(Husain et al., 2010)]] does not match the data that we downloaded during the contest. They indicate the number of words, while we can count the number of nodes, i.e. chunks. Anywaythe number of training sentences should match and it does not. Also note that they give the same number of words as they gave for ICON 2009 in [[http://ltrc.iiit.ac.in/nlptools2009/CR/intro-husain.pdf|(Husain et al., 2009)]]. In any case, the training data shrank during the year (clean up?) In the following table, we give both the published and real numbers of sentences, the published number of words and the counted number of chunks (nodes).
  
-^ Part ^ Sentences ^ Chunks ^ Ratio ^ Words ^ Ratio ^ +^ Part ^ Sentences ^ Chunks ^ Ratio ^ PSentences ^ Words ^ Ratio ^ 
-| Training | 1400 | 7602 | 5.43 | +| Training     1300  5125  3.94  1400 |  7602 |  5.43 | 
-| Development | 150 | | 839 | 5.59 | +| Development |   150 |   597  3.98   150 |   839 |  5.59 | 
-| Test | 150 | | 836 | 5.57 | +| Test          150 |   599  3.99   150 |   836 |  5.57 | 
-| TOTAL | 1700 | ? | ? | 9277 | 5.46 | +| TOTAL        1600 |  6321 |  3.95  1700 |  9277 |  5.46 |
- +
-We drew our training and test data from the ICON 2010 datasets but we have fewer sentences – why? +
- +
-^ Part ^ Sentences ^ Chunks ^ Ratio ^ +
-| Training |  1300 |  5125 | 3.94 | +
-| Test       150 |   597 | 3.98 | +
-| TOTAL    |  1450 |  5722 | 3.95 |+
  
 ==== Inside ==== ==== Inside ====
  
-The text uses the [[http://ltrc.iiit.ac.in/nlptools2010/files/documents/map.pdf|WX encoding]] of Indian letters. If we know what the original script is (Bengali in this case) we can map the WX encoding to the original characters in UTF-8. WX uses English letters so if there was embedded English (or other string using Latin letters) it will probably get lost during the conversion.+The text uses the [[http://ltrc.iiit.ac.in/nlptools2010/files/documents/map.pdf|WX encoding]] of Indian letters. If we know what the original script is (Telugu in this case) we can map the WX encoding to the original characters in UTF-8. WX uses English letters so if there was embedded English (or other string using Latin letters) it will probably get lost during the conversion.
  
 The CoNLL format contains only the chunk heads. The native SSF format shows the other words in the chunk, too, but it does not capture intra-chunk dependency relations. This is an example of a multi-word chunk: The CoNLL format contains only the chunk heads. The native SSF format shows the other words in the chunk, too, but it does not capture intra-chunk dependency relations. This is an example of a multi-word chunk:
  
-<code>      ((      NP      <fs af='rumAla,n,,sg,,d,0,0' head="rumAla" drel=k2:VGF name=NP3> +<code>      ((      NP      <fs af='AdavAlYlu,n,,sg,,,0,0_e' head='AdavAlYle' pbank='ARG3' name='NP3'
-3.1     ekatA   QC      <fs af='eka,num,,,,,,'> +3.1     932     QC      <fs af='932,num,,,,,,'> 
-3.2     ledisa  JJ      <fs af='ledisa,unk,,,,,,'> +3.2     maMxi   CL      <fs af='maMxi,n,,pl,,d,0,0'> 
-3.3     rumAla  NN      <fs af='rumAla,n,,sg,,d,0,0' name="rumAla">+3.3     AdavAlYle       NN      <fs af='AdavAlYlu,n,,sg,,,0,0_e' name='AdavAlYle'>
         ))</code>         ))</code>
  
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 According to [[http://ltrc.iiit.ac.in/nlptools2010/files/documents/toolscontest10-workshoppaper-final.pdf|(Husain et al., 2010)]], in the ICON 2010 version, the chunk tags, POS tags and inter-chunk dependencies (topology + tags) were annotated manually. The rest (lemma, morphosyntactic features, headword of chunk) was marked automatically. According to [[http://ltrc.iiit.ac.in/nlptools2010/files/documents/toolscontest10-workshoppaper-final.pdf|(Husain et al., 2010)]], in the ICON 2010 version, the chunk tags, POS tags and inter-chunk dependencies (topology + tags) were annotated manually. The rest (lemma, morphosyntactic features, headword of chunk) was marked automatically.
  
-Note: There have been cycles in the Hindi part of HyDT but no such problem occurs in the Bengali part.+Note: There have been cycles in the Hindi part of HyDT but no such problem occurs in the Telugu part.
  
 ==== Sample ==== ==== Sample ====

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