Treebank Statistics: UD_Gujarati-GujTB: POS Tags: CCONJ
There are 8 CCONJ lemmas (1%), 9 CCONJ types (1%) and 50 CCONJ tokens (3%).
Out of 17 observed tags, the rank of CCONJ is: 13 in number of lemmas, 12 in number of types and 10 in number of tokens.
The 10 most frequent CCONJ lemmas: અને, _, પણ, કે, પરંતુ, અથવા, જ્યારે, પરંતું
The 10 most frequent CCONJ types: અને, પણ, પરંતુ, કે, ના, અથવા, જ્યારે, તેમ, પરંતું
The 10 most frequent ambiguous lemmas: _ (PUNCT 48, NOUN 43, VERB 42, PRON 25, AUX 24, PROPN 19, ADV 11, ADJ 8, CCONJ 7, DET 6, PART 5, SCONJ 5, ADP 4, X 3, INTJ 2), પણ (PART 16, CCONJ 6), કે (SCONJ 4, CCONJ 2, INTJ 1), પરંતુ (CCONJ 2, ADV 1)
The 10 most frequent ambiguous types: પણ (PART 16, CCONJ 6), પરંતુ (CCONJ 4, ADV 1), કે (SCONJ 6, CCONJ 3, INTJ 1), ના (ADP 20, PART 6, CCONJ 2, INTJ 2, ADV 1, NOUN 1), તેમ (CCONJ 1, SCONJ 1)
- પણ
- પરંતુ
- કે
- ના
- તેમ
Morphology
The form / lemma ratio of CCONJ is 1.125000 (the average of all parts of speech is 1.120000).
The 1st highest number of forms (5) was observed with the lemma “_”: અને, કે, તેમ, ના, પરંતુ.
The 2nd highest number of forms (1) was observed with the lemma “અથવા”: અથવા.
The 3rd highest number of forms (1) was observed with the lemma “અને”: અને.
CCONJ occurs with 1 features: Typo (1; 2% instances)
CCONJ occurs with 1 feature-value pairs: Typo=Yes
CCONJ occurs with 2 feature combinations.
The most frequent feature combination is _ (49 tokens).
Examples: અને, પણ, પરંતુ, કે, ના, અથવા, જ્યારે, પરંતું
Relations
CCONJ nodes are attached to their parents using 2 different relations: cc (48; 96% instances), cc:preconj (2; 4% instances)
Parents of CCONJ nodes belong to 5 different parts of speech: NOUN (20; 40% instances), VERB (16; 32% instances), PROPN (6; 12% instances), ADJ (5; 10% instances), PRON (3; 6% instances)
49 (98%) CCONJ nodes are leaves.
1 (2%) CCONJ nodes have one child.
The highest child degree of a CCONJ node is 1.
Children of CCONJ nodes are attached using 1 different relations: goeswith (1; 100% instances)
Children of CCONJ nodes belong to 1 different parts of speech: X (1; 100% instances)