Difference between revisions of "Ainu/Transducer"

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== Generator ==
  
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=== Initial evaluation of morphological generation ===
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There are 79 stems in the transducer. 75/115 ain.yaml tests pass (40 fail). 2/20 commonwords.yaml tests pass (18 fail). Generation test has 77/164 ain.yaml tests pass (87 fail).
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== Analyser ==
  
 
=== Evaluation ===
 
=== Evaluation ===

Revision as of 16:51, 21 February 2017

Generator

Initial evaluation of morphological generation

There are 79 stems in the transducer. 75/115 ain.yaml tests pass (40 fail). 2/20 commonwords.yaml tests pass (18 fail). Generation test has 77/164 ain.yaml tests pass (87 fail).

Analyser

Evaluation

The most common unknown words originally were

Common Words
Word Times Encountered
ネ 60
カ 50
アン 44
タ 30
ワ 29
コ 25
イ 20
ヒ 18
ピ 16
ルウェ 16
パ 16
ㇺ 14
ㇷ 14
ウタ 14
セコ 13
ハウェアン 13
キ 12
クニ 10
ニ 9
ヤㇰ 9


Original coverage of these words is 11.19%. Now the coverage is 22.76%.

There are 79 stems in the transducer. 75/115 ain.yaml tests pass (40 fail). 2/20 commonwords.yaml tests pass (18 fail).

Now the most common words are

Common Words
Word Times Encountered
カ 50
アン 44
タ 30
ワ 29
イ 20
ヒ 18
ピ 16
ルウェ 16
パ 16
ㇺ 14
ㇷ 14
ウタ 14
セコ 13
ハウェアン 13
キ 12
クニ 10
ニ 9
ヤㇰ 9
チュㇷ 8
カノ 8

Notes

After adding "ネ<vbser> ↔ ネ" and "コ<cnjsub> ↔ コ" to the transducer, coverage went from 11.19% to 21.21%.

The tests I am struggling with are for adjectivity-- I need a new grammar book to confirm that there are really so many differing adjective endings because the current book I am using as a reference was written over 100 years ago. I have not yet had time to add pronoun or noun affinity tests. The remaining failing tests are irregular cases at which I will have to look more closely.


Transducer

Ainu transducer available on my GitHub.