Difference between revisions of "Asturian and English"

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== Machine Translation Resources ==
 
== Machine Translation Resources ==
  
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[https://github.swarthmore.edu/mparker3/ling073-ast-eng-corpus Github repository] containing the UN Declaration of Human Rights in both English and Extremaduran
+
[https://github.swarthmore.edu/mparker3/ling073-ast-eng-corpus Github repository] containing a number of tools for machine translation, including small test corpuses, a corpus of the Asturian Wikipedia, UD-annotated ConLLU files, and UDPipe models for UD annotation
  
 
== Contrastive Grammar ==
 
== Contrastive Grammar ==
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[https://wikis.swarthmore.edu/ling073/Asturian_and_English/Lexical_selection Lexical Selection]
 
[https://wikis.swarthmore.edu/ling073/Asturian_and_English/Lexical_selection Lexical Selection]
 +
 +
== Dependency Annotation ==
 +
 +
[https://wikis.swarthmore.edu/ling073/Asturian/Universal_dependencies Dependency Annotation]
  
 
== ast -> eng evaluation ==
 
== ast -> eng evaluation ==
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Number of words which were free rides: 0
 
Number of words which were free rides: 0
  
−
== Polished RBMT system ==
+
== Additions ==
  
 
Stems: added 100 new stems to the dictionary file
 
Stems: added 100 new stems to the dictionary file
 +
 
Lexical selection: Implemented 3 new lexical selection rules
 
Lexical selection: Implemented 3 new lexical selection rules
 +
 
Structural Transfer: Implemented 3 new structural transfer rules
 
Structural Transfer: Implemented 3 new structural transfer rules
 +
 +
== Evaluation ==
 +
 +
=== Asturian Transducer ===
 +
 +
Coverage against the large corpus wasn't available because of encoding errors.
 +
 +
Measuring precision and recall between the annotated corpus and the sample corpus also wasn't available because of corpus length errors and compound words in Asturian.
 +
 +
There are 39861079 words in the <code>longer</code> corpus.
 +
 +
Total number of stems in transducer could not be calculated because the number of stems in the <code>apertium-ast.ast.dix</code> were too numerous to count by hand and the transducer did not use a <code>lexc</code> file.
 +
 +
=== Asturian-English Translation System ===
 +
 +
WER over longer corpus: 99.18%
 +
PER over longer corpus: 98.47%
 +
 +
Proportion of stems tranlated correctly in the longer corpus: what script do I use to find this?
 +
 +
 +
  
 
  [[Category:Sp18_TranslationPairs]]
 
  [[Category:Sp18_TranslationPairs]]

Latest revision as of 19:12, 2 June 2018

Resources for machine translation between Asturian and English

Machine Translation Resources

Github repository containing a number of tools for machine translation, including small test corpuses, a corpus of the Asturian Wikipedia, UD-annotated ConLLU files, and UDPipe models for UD annotation

Contrastive Grammar

Contrastive Grammar

Lexical Selection

Lexical Selection

Dependency Annotation

Dependency Annotation

ast -> eng evaluation

WER: 100%

PER: 100%

Number of words which were free rides: 0

Additions

Stems: added 100 new stems to the dictionary file

Lexical selection: Implemented 3 new lexical selection rules

Structural Transfer: Implemented 3 new structural transfer rules

Evaluation

Asturian Transducer

Coverage against the large corpus wasn't available because of encoding errors.

Measuring precision and recall between the annotated corpus and the sample corpus also wasn't available because of corpus length errors and compound words in Asturian.

There are 39861079 words in the longer corpus.

Total number of stems in transducer could not be calculated because the number of stems in the apertium-ast.ast.dix were too numerous to count by hand and the transducer did not use a lexc file.

Asturian-English Translation System

WER over longer corpus: 99.18% PER over longer corpus: 98.47%

Proportion of stems tranlated correctly in the longer corpus: what script do I use to find this?