Treebank Statistics: UD_Hindi-PUD: POS Tags: NUM
There are 233 NUM lemmas (5%), 236 NUM types (4%) and 452 NUM tokens (2%).
Out of 16 observed tags, the rank of NUM is: 5 in number of lemmas, 5 in number of types and 11 in number of tokens.
The 10 most frequent NUM lemmas: दो, तीन, एक, मिलियन, चार, 1, 10, 3, छह, दस
The 10 most frequent NUM types: दो, तीन, एक, मिलियन, चार, 1, 10, 3, छह, दस
The 10 most frequent ambiguous lemmas: दो (NUM 39, NOUN 8, DET 7, PART 2), एक (DET 205, NUM 14, NOUN 8, ADP 1, PRON 1), चार (NUM 10, ADP 1), दस (NUM 6, DET 1), लाख (DET 1, NUM 1), हजार (DET 1, NUM 1)
The 10 most frequent ambiguous types: दो (NUM 35, NOUN 1), एक (DET 205, NUM 14, NOUN 8, ADP 1, PRON 1), दोनों (DET 7, NOUN 7, NUM 4, PART 2)
- दो
- एक
- DET 205: पहले एक यजीदी महिला ने रोना शुरू किया , फिर उसकी एक दोस्त ने ।
- NUM 14: उसने बीबीसी के लिए एक दशक तक काम किया ।
- NOUN 8: उसका 1981 का एल्बम वाइल्ड वेस्ट सबसे ज्यादा बिकने वाले एल्बम में से एक था ।
- ADP 1: मलबे से पृथ्वी की भूमध्य रेखा के चारों ओर एक छल्ला बन गया और अंततः गुरुत्वाकर्षण के द्वारा दोनों को एक साथ खींचने के कारण चांद बन गया ।
- PRON 1: संसदीय भाषण कला में शब्दों पर जोर , अच्छे किस्म के व्यंग्य , भोथरे इशारे या अच्छी तरह प्रयोग किए जाने वाले मौखिक उपकरण तो फिट बैठते हैं , लेकिन एक - दूसरे को लताड़ना और नाटकीय तरीके का प्रहसन नहीं ।
- दोनों
- DET 7: कोई नहीं जानता कि दोनों नाटककार किस तरह एक साथ काम करेंगे ।
- NOUN 7: इसके अलावा , लगता है कि दोनों ने कम से कम मिस्र के निचले हिस्सों को अपने अधिकार में रखा ।
- NUM 4: इस घटना के समय और घटनाक्रम दोनों पर उत्साहपूर्वक चर्चा की गई थी ।
- PART 2: जर्मन सेना द्वारा सीमा पार करने के तुरंत बाद मंत्रिमंडल को संबोधित करते हुए चैम्बरलिन ने जर्मनी और आस्ट्रिया दोनों पर दोष मढ़ा ।
Morphology
The form / lemma ratio of NUM is 1.012876 (the average of all parts of speech is 1.166595).
The 1st highest number of forms (2) was observed with the lemma “3000”: 3,000, 3000.
The 2nd highest number of forms (2) was observed with the lemma “5000”: 5,000, 5000.
The 3rd highest number of forms (2) was observed with the lemma “दो”: दो, दोनों.
NUM occurs with 1 features: NumType (452; 100% instances)
NUM occurs with 1 feature-value pairs: NumType=Card
NUM occurs with 1 feature combinations.
The most frequent feature combination is NumType=Card (452 tokens).
Examples: दो, तीन, एक, मिलियन, चार, 1, 10, 3, छह, दस
Relations
NUM nodes are attached to their parents using 15 different relations: nummod (277; 61% instances), obl:tmod (74; 16% instances), nmod:poss (40; 9% instances), obl (14; 3% instances), nmod (9; 2% instances), obj (9; 2% instances), appos (8; 2% instances), compound (5; 1% instances), conj (4; 1% instances), nsubj (3; 1% instances), amod (2; 0% instances), iobj (2; 0% instances), root (2; 0% instances), xcomp (2; 0% instances), dep (1; 0% instances)
Parents of NUM nodes belong to 8 different parts of speech: NOUN (294; 65% instances), VERB (102; 23% instances), NUM (30; 7% instances), ADJ (12; 3% instances), PROPN (7; 2% instances), SYM (3; 1% instances), DET (2; 0% instances), (2; 0% instances)
219 (48%) NUM nodes are leaves.
128 (28%) NUM nodes have one child.
70 (15%) NUM nodes have two children.
35 (8%) NUM nodes have three or more children.
The highest child degree of a NUM node is 5.
Children of NUM nodes are attached using 20 different relations: case (149; 39% instances), compound (58; 15% instances), punct (58; 15% instances), det (32; 8% instances), nummod (24; 6% instances), dep (23; 6% instances), discourse (8; 2% instances), conj (7; 2% instances), cc (5; 1% instances), acl:relcl (3; 1% instances), advmod (3; 1% instances), amod (2; 1% instances), cop (2; 1% instances), fixed (2; 1% instances), nmod (2; 1% instances), nmod:poss (2; 1% instances), acl (1; 0% instances), nsubj (1; 0% instances), obj (1; 0% instances), obl:tmod (1; 0% instances)
Children of NUM nodes belong to 14 different parts of speech: ADP (149; 39% instances), NOUN (61; 16% instances), PUNCT (58; 15% instances), DET (32; 8% instances), NUM (30; 8% instances), SYM (27; 7% instances), CCONJ (5; 1% instances), PART (5; 1% instances), ADJ (4; 1% instances), VERB (4; 1% instances), ADV (3; 1% instances), AUX (2; 1% instances), PROPN (2; 1% instances), X (2; 1% instances)