Difference between revisions of "Chechen/Transducer"
From LING073
(→Additional Top Words) |
(→Hard-coded Forms) |
||
| Line 4: | Line 4: | ||
===Hard-coded Forms=== | ===Hard-coded Forms=== | ||
| − | {{morphTest|йоӏ{{tag|n}}{{tag|cl_j}}{{tag|abs}}{{tag|pl}}|мехкарий}}: girl, girls | + | *{{morphTest|йоӏ{{tag|n}}{{tag|cl_j}}{{tag|abs}}{{tag|pl}}|мехкарий}}: girl, girls |
| − | {{morphTest|стаг{{tag|n}}{{tag|cl_j2}}{{tag|abs}}{{tag|pl}}|нах}}: person, people | + | *{{morphTest|стаг{{tag|n}}{{tag|cl_j2}}{{tag|abs}}{{tag|pl}}|нах}}: person, people |
| − | These forms are hard-coded because they are irregular plural forms, which do not conform to any rule. | + | :*These forms are hard-coded because they are irregular plural forms, which do not conform to any rule. |
| − | {{morphTest|а{{tag|conj}}|а}}: and | + | *{{morphTest|а{{tag|conj}}|а}}: and |
| − | This form also hard-coded because there is no morphological change at all for conjunction class. | + | :*This form also hard-coded because there is no morphological change at all for conjunction class. |
===Additional Top Words=== | ===Additional Top Words=== | ||
Revision as of 08:09, 22 February 2019
Transducer on Github: https://github.swarthmore.edu/Ling073-sp19/ling073-che.git
Note
All 73 tests in che.yaml file passed.
Hard-coded Forms
- йоӏ<n><cl_j><abs><pl> ↔ мехкарий: girl, girls
- стаг<n><cl_j2><abs><pl> ↔ нах: person, people
- These forms are hard-coded because they are irregular plural forms, which do not conform to any rule.
- а<conj> ↔ а: and
- This form also hard-coded because there is no morphological change at all for conjunction class.
Additional Top Words
| Top Words | Coverage Before | Coverage After |
|---|---|---|
| N/A | -- | 1.59% |
| а<conj> ↔ а | 1.59% | 15.73% |
| ала<v><iv><past><rem><wit> ↔ элира | 15.73% | 17.03% |
| латта<v><iv><pres> ↔ лаьтта | 17.03% | 18.23% |
| Дала<np><abs><sg> ↔ Дала | 18.23% | 20.45% |
| масса<n><cl_j2><erg><sg> ↔ массо | 20.45% | 21.27% |
| иза<prn><pers><p3><pl><abs> ↔ иза | 21.27% | 22.09% |
| уьш<prn><pers><p3><pl><abs> ↔ уьш | 22.09% | 22.62% |
| и<prn><dem><dst> ↔ и | 22.62% | 23.44% |
| тайпа<n><cl_d><dat><sg> ↔ тайпана | 23.44% | 24.17% |
Evaluation
- Total number of stems in the transducer: 55
- Current coverage over your combined corpus: 24.17%
- The current list of top unknown words returned by
aq-covtest:
- 64 т
- 60 у
- 37 х
- 22 Веза
- 21 д
- 20 Т
- 20 аккха
- 18 е
- 18 ехь
- 18 ера
- 15 ду
- 12 к
- 12 хир
- 12 аьлла
- 11 хи
- 11 дерриге
- 11 адам
- 10 де
- 10 Иштта
- 10 цу
- Number of tests that pass in yaml files
- In che.yaml: 73/73 pass
- In commonwords.yaml: 7/33 pass
