Treebank Statistics: UD_Persian-Seraji: POS Tags: NUM
There are 393 NUM lemmas (3%), 397 NUM types (2%) and 3409 NUM tokens (2%).
Out of 15 observed tags, the rank of NUM is: 4 in number of lemmas, 5 in number of types and 12 in number of tokens.
The 10 most frequent NUM lemmas: یک، دو، هزار، سه، میلیون، ۲، چهار، ۵، ۳، پنج
The 10 most frequent NUM types: یک، دو، یکی، هزار، سه، میلیون، ۲، چهار، ۵، ۳
The 10 most frequent ambiguous lemmas: یک (NUM 1011, PRON 12, NOUN 1), دو (NUM 333, NOUN 3), سه (NUM 121, NOUN 2), میلیون (NUM 74, NOUN 1), چهار (NUM 46, NOUN 2), ده (NUM 36, NOUN 5, VERB 1), میلیارد (NUM 29, NOUN 20), ۲۰ (NUM 27, NOUN 1), ۷ (NUM 24, NOUN 1), صد (NUM 22, NOUN 4)
The 10 most frequent ambiguous types: یک (NUM 839, PRON 12), دو (NUM 333, NOUN 3), یکی (NUM 172, NOUN 1), سه (NUM 121, NOUN 2), چهار (NUM 46, NOUN 2), ده (NUM 30, NOUN 4, VERB 1), میلیارد (NUM 29, NOUN 20), ۲۰ (NUM 27, NOUN 1), ۷ (NUM 24, NOUN 1), هشت (NUM 22, NOUN 3)
- یک
- دو
- یکی
- سه
- چهار
- ده
- NUM 30: همان طور که من الان ، آدم ده سال پیش نیستم ؛ دگرگون شده‌ام .
- NOUN 4: باژ که زادگاه فردوسی معرفی شده ، در ناحیهٔ طابران یکی از این هزار ده است .
- VERB 1: ۵ - دل خود را در پوششی از رؤفت و محبت و لطف به رعیت قرار ده و برای آن‌ها مبادا به صورت درنده‌ای زیانبخش باشی که خوردن و از بین بردن آن‌ها غنیمت شمری زیرا ایشان دو گروه ند ، یا برادر دینی تو هستند و یا بمانند تو انسانی می‌باشند .
- میلیارد
- ۲۰
- ۷
- هشت
Morphology
The form / lemma ratio of NUM is 1.010178 (the average of all parts of speech is 1.409222).
The 1st highest number of forms (3) was observed with the lemma “هزار”: هزار, هزاران, هزارها.
The 2nd highest number of forms (2) was observed with the lemma “ده”: ده, دهها.
The 3rd highest number of forms (2) was observed with the lemma “صد”: صد, صدها.
NUM occurs with 1 features: NumType (3409; 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 (3409 tokens).
Examples: یک، دو، یکی، هزار، سه، میلیون، ۲، چهار، ۵، ۳
Relations
NUM nodes are attached to their parents using 18 different relations: nummod (2771; 81% instances), compound (197; 6% instances), conj (187; 5% instances), nsubj (76; 2% instances), nmod (68; 2% instances), obl (24; 1% instances), nmod:poss (19; 1% instances), root (17; 0% instances), obj (9; 0% instances), amod (8; 0% instances), appos (7; 0% instances), ccomp (7; 0% instances), flat (5; 0% instances), xcomp (5; 0% instances), fixed (4; 0% instances), acl:relcl (2; 0% instances), advcl (2; 0% instances), nsubj:pass (1; 0% instances)
Parents of NUM nodes belong to 10 different parts of speech: NOUN (2707; 79% instances), NUM (407; 12% instances), ADJ (137; 4% instances), VERB (121; 4% instances), (17; 0% instances), PRON (11; 0% instances), ADV (5; 0% instances), ADP (2; 0% instances), DET (1; 0% instances), X (1; 0% instances)
2474 (73%) NUM nodes are leaves.
746 (22%) NUM nodes have one child.
148 (4%) NUM nodes have two children.
41 (1%) NUM nodes have three or more children.
The highest child degree of a NUM node is 8.
Children of NUM nodes are attached using 22 different relations: nummod (225; 18% instances), punct (207; 17% instances), conj (198; 16% instances), nmod (161; 13% instances), cc (98; 8% instances), case (94; 8% instances), advmod (60; 5% instances), obl (51; 4% instances), cop (27; 2% instances), nsubj (25; 2% instances), det (23; 2% instances), mark (14; 1% instances), ccomp (9; 1% instances), amod (6; 0% instances), fixed (6; 0% instances), nmod:poss (6; 0% instances), compound (5; 0% instances), aux (2; 0% instances), flat (2; 0% instances), acl (1; 0% instances), acl:relcl (1; 0% instances), advcl (1; 0% instances)
Children of NUM nodes belong to 13 different parts of speech: NUM (407; 33% instances), NOUN (246; 20% instances), PUNCT (207; 17% instances), CCONJ (98; 8% instances), ADP (90; 7% instances), ADJ (71; 6% instances), AUX (29; 2% instances), DET (23; 2% instances), SCONJ (13; 1% instances), ADV (12; 1% instances), PRON (11; 1% instances), PART (8; 1% instances), VERB (7; 1% instances)