Treebank Statistics: UD_Xibe-XDT: POS Tags: NOUN
There are 795 NOUN
lemmas (34%), 831 NOUN
types (27%) and 4606 NOUN
tokens (30%).
Out of 17 observed tags, the rank of NOUN
is: 1 in number of lemmas, 2 in number of types and 1 in number of tokens.
The 10 most frequent NOUN
lemmas: ᠠᠨᡞᠶᠠ, ᠨᡞᠶᠠᠯᠮᠠ, ᡞᠷᡤᡝᠨ, ᡥᡝᡨᡥᡝ, ᡞᠰᠠᠨ, ᡤᡠᠷᡠᠨ, ᠪᠠᡞᡨᠠ, ᠰᡞᠶᠠᠨ, ᡠᠰᡞᠨ, ᠸᡝᡞᠯᡝᠷᠠᠨ
The 10 most frequent NOUN
types: ᠠᠨᡞᠶᠠ, ᠨᡞᠶᠠᠯᠮᠠ, ᡞᠷᡤᡝᠨ, ᡞᠰᠠᠨ, ᡤᡠᠷᡠᠨ, ᠪᠠᡞᡨᠠ, ᡥᡝᡨᡥᡝ, ᠰᡞᠶᠠᠨ, ᡠᠰᡞᠨ, ᠸᡝᡞᠯᡝᠷᠠᠨ
The 10 most frequent ambiguous lemmas: ᠰᡞᠶᠠᠨ (NOUN 51, X 6, PROPN 2), ᡩᠠᡢ (NOUN 44, X 1), ᠪᠣᠣ (NOUN 37, X 1), ᡩᠠ (NOUN 30, PROPN 1), ᠠᠷᠪᡠᠨ (NOUN 29, VERB 1), ᡧᡠ (NOUN 28, PROPN 3, X 1), ᠪᠠ (NOUN 27, X 3, PART 2), ᠸᡝᠨ (NOUN 21, PROPN 1), ᡪᡝᠨ (NOUN 19, PROPN 5, X 1), ᡪᡠᡢᡤᡠᡢ (NOUN 19, PROPN 1)
The 10 most frequent ambiguous types: ᠰᡞᠶᠠᠨ (NOUN 51, X 6, PROPN 2), ᡩᠠᡢ (NOUN 44, X 1), ᡩᠠ (NOUN 30, PROPN 1), ᠠᠷᠪᡠᠨ (NOUN 29, VERB 1), ᠪᠣᠣ (NOUN 29, X 1), ᡧᡠ (NOUN 28, PROPN 3, X 1), ᠪᠠ (NOUN 22, X 3, PART 2), ᠸᡝᠨ (NOUN 21, PROPN 1), ᡪᡝᠨ (NOUN 19, PROPN 5, X 1), ᡪᡠᡢᡤᡠᡢ (NOUN 19, PROPN 1)
- ᠰᡞᠶᠠᠨ
- NOUN 51: ᠪᡝᠶᡝ ᡩᠠᠰᠠᡢᡤᠠ ᠰᡞᠶᠠᠨ ᠰᡞᠶᠠᠨ ᡪᠠᡢ ᠄ ᡤᡠᠸᠠᠨ ᡤᡠᡞᡪᡝᠨ
- X 6: ᡨᡝᠪᡞᠴᡞ ︐ 2018 ᠴᡞ ᠠᠨᡞᠶᠠ 5 ᠪᡞᠶᠠ ᡩᡝ ᠴᠠᠪᠴᠠᠯ ᠰᡞᠶᠠᠨ ᠨᡞᡢᡤᡝ ᡥᡡᡩᠠᠰᡞ ᡝᠯᠪᡞᠮᡝ ᡠᠯᡞᠨ ᡪᡞᡥᠠ ᠶᠠᠷᡠᠮᡝ ᡩᠣᠰᡞᠪᡠᠷᡝ ᠪᡝ ᡩᡠᠯᡝᠪᡠᡫᡞ ᡥᡝ ᠪᡝᡞ ᠪᠣᠣ ᡩᡞᡢ ᡩᡝᠷᡞ ᠰᡞᠪᡣᡞᠮᡝ ᡫᡠᡥᠠᡧᠠᠮᡝ ︑ ᡨᡠᠴᡞᠪᡠᠮᡝ ᡧᡝᠣ ᡨᠣᠣ ᠪᡝ ᡥᠠᠰᡥᠠᠯᠠᠮᡝ ᠠᠷᠠᠷᠠ ᠪᡝ ᠣᠶᠣᡢᡤᠣ ᠣᠪᡠᡥᠠ ᠰᡞᠨᡪᡞᠶᠠᡢ ᠰᡞᠶᠠᠨ ᡪᡝᠨ ᡝᡨᡠᡣᡠ ᠠᡩᡠ ᡣᡝᠮᡠᡢᡤᡝ ᡤᡠᡢᠰᡟ ᠪᡝ ᠶᠠᠷᡠᠮᡝ ᡩᠣᠰᡞᠪᡠᡥᠠᠪᡞ ︒
- PROPN 2: ᡝᠷᡝᠮᡠ ᡫᠠᠯᡤᠠ ᠣᠶᠣᡢᡤᠣ ᡪᠣᠷᡞᡢᡤᠠ ᡞ᠋ ᡠᠯᠠᠮᡝ ᡨᠠᠴᡞᠪᡠᠷᡝ ᠠᡧᡧᠠᠨ ᡩᡝ ᠠᡩᠠᠨᠠᡥᠠ ᠠᠮᠠᠯᠠ ︐ ᠰᡞᠶᠠᠨ ᡪᡝᠨ ᡤᡠᡢᠰᡟ ᠸᡝᡞᠯᡝᠷᠠᠰᡞ ᡨᡝᡞᠰᡠ ᡨᡝᡞᠰᡠ ᡞ᠋ ᡞᠯᡝᡨᡠᠯᡝᠮᡝ ︐ ᡠᠷᡠᠨᠠᡣᡡ ᠪᡝᠶᡝᡞ ᡨᡝᡞᠰᡠ ᡣᡡᠪᡠᠯᡞᠮᡝ ᡫᠣᠷᡤᠣᡧᠣᡥᠣ ᡩᡝ ᡥᡡᡩᡠᡣᠠᠨ ᡞ᠋ ᠠᠴᠠᠪᡠᠮᡝ ︐ ᡝᠮᡠ ᡪᡝᡢᡲᡞ ᡣᡝᠮᡠᠨ ᡩᡝ ᠠᠮᠴᠠᠷᠠ ︑ ᡫᠠᡣᠰᡞ ᡪᠠᠯᠠᠨ ᡝᠷᡩᡝᠮᡠ ᡩᡝ ᡠᠷᡝᠰᡥᡡᠨ ᡞᠴᡝ ᡝᠷᡞᠨ ᡫᡠᠨ ᡫᡠᠯᡠ ᠰᠠᡞᠨ ᠴᡞ ᠶᡝ ᠸᡝᡞᠯᡝᠷᠠᠰᡞ ᠣᡪᠣᠷᠣ ᠪᡝ ᠨᡝᠮᡧᡝᠮᠪᡞ ᠰᡝᡥᡝ ︒
- ᡩᠠᡢ
- ᡩᠠ
- ᠠᠷᠪᡠᠨ
- NOUN 29: ᡠᠪᠠᡞ ᠠᠷᠪᡠᠨ ᡨᡠᠸᠠᠪᡠᠨ ᡪᠠᠴᡞ ᠰᠠᡞᡣᠠᠨ 。
- VERB 1: 25 ᡞ᠋ ᡞᠨᡝᡢᡤᡞ ᠣᡢᡤᠣᠯᠣ ︐ ᠰᡞ ᡪᡞᠨ ᡦᡞᡢ ᡞ᠋ ᠶᠠᠷᡥᡡᡩᠠᠷᠠ ᡫᡝᡪᡞᠯᡝ ︐ ᡪᡠᡢᡤᡠᡢ ᡪᡠᡢᠶᠠᡢ ᡪᡝᡢᡲᡞ ᡪᡞᠣᡞ ᡨᡠᡢᡲᡞ ᠨᡞᠶᠠᠯᠮᠠ ᡞᠷᡤᡝᠨ ᠰᡝᠷᡣᡞᠨ ᡫᠠᠯᡤᠠᠷᡞ ᡞᠴᡝ ᡪᠠᠯᠠ ᡩᡠᠷᠰᡠᠨ ᡨᠠᡣᡨᡠ ᡩᡝ ᡪᡞᡫᡞ ︐ ᡨᡝᠰᡝ ᠨᡝᠨᡝᠮᡝ ᠨᡞᠶᠠᠯᠮᠠ ᡞᠷᡤᡝᠨ ᠰᡝᠷᡣᡞᠨ ᡨᠣᠨᠣᡢᡤᠣ ᡠᠯᠠᠮᡝ ᠰᡝᠯᡤᡞᠶᡝᠷᡝ ᡤᡠᡢᠰᡟ ᡞ᠋ ᠨᡝ ᡫᠠᠯᡤᠠ ᡩᡝ ᡩᡞᠶᠠᠨᡯᡞ ᡩᡠᠷᡠᠨ ᡞ᠋ ᠰᡝᠷᡣᡞᠨ ᡥᡡᠯᠠᠷᠠ ᠯᠠᠨ ᠪᡝ ᡞᠯᡞᠪᡠᠮᡝ ᠠᠷᠠᠷᠠ ᡪᠠᡞ ᠪᡞᠷᡝᡨᡝᠯᡝᠮᡝ ᠪᠠᡞᡨᠠᠯᠠᠮᠠᡥᠠ ᠠᠷᠪᡠᠨ ᠪᡝ ᠪᠠᡞᠴᠠᠮᡝ ᡨᡠᠸᠠᠮᡝ ᡪᠠᡞ ᡨᠠᡣᠠᠮᡝ ᡤᠠᡞᡥᠠ ︒
- ᠪᠣᠣ
- NOUN 29: ᠪᡝ ᠸᡝᡞᠯᡝᠰᡞ , ᠰᡠᠸᡝ ᡠᠰᡞᠰᡞ , ᠮᡠᠰᡝ ᡬᠠᠮᡠ ᡤᡠᠷᡠᠨ ᠪᠣᠣ ᡞ ᡝᡪᡝᠨ ᡩᠠ 。
- X 1: ᡨᡝᠪᡞᠴᡞ ︐ 2018 ᠴᡞ ᠠᠨᡞᠶᠠ 5 ᠪᡞᠶᠠ ᡩᡝ ᠴᠠᠪᠴᠠᠯ ᠰᡞᠶᠠᠨ ᠨᡞᡢᡤᡝ ᡥᡡᡩᠠᠰᡞ ᡝᠯᠪᡞᠮᡝ ᡠᠯᡞᠨ ᡪᡞᡥᠠ ᠶᠠᠷᡠᠮᡝ ᡩᠣᠰᡞᠪᡠᠷᡝ ᠪᡝ ᡩᡠᠯᡝᠪᡠᡫᡞ ᡥᡝ ᠪᡝᡞ ᠪᠣᠣ ᡩᡞᡢ ᡩᡝᠷᡞ ᠰᡞᠪᡣᡞᠮᡝ ᡫᡠᡥᠠᡧᠠᠮᡝ ︑ ᡨᡠᠴᡞᠪᡠᠮᡝ ᡧᡝᠣ ᡨᠣᠣ ᠪᡝ ᡥᠠᠰᡥᠠᠯᠠᠮᡝ ᠠᠷᠠᠷᠠ ᠪᡝ ᠣᠶᠣᡢᡤᠣ ᠣᠪᡠᡥᠠ ᠰᡞᠨᡪᡞᠶᠠᡢ ᠰᡞᠶᠠᠨ ᡪᡝᠨ ᡝᡨᡠᡣᡠ ᠠᡩᡠ ᡣᡝᠮᡠᡢᡤᡝ ᡤᡠᡢᠰᡟ ᠪᡝ ᠶᠠᠷᡠᠮᡝ ᡩᠣᠰᡞᠪᡠᡥᠠᠪᡞ ︒
- ᡧᡠ
- NOUN 28: ᡤᡝᠷᡝᠨ ᡠᡣᠰᡠᠷᠠ ᡧᡠ ᡥᡡᠮᠠᠨ ᠴᡞᡥᠠᠯᠠᠰᡞ ᡞᠨᡞ ᠪᡝᠶᡝ ᡥᠠᠴᡞᠨ ᠮᡝᠶᡝᠨ ᡯᡠᡲᡞᠯᡝᠮᡝ ᡝᡫᡞᠮᡝ ︐ ᡥᠠᠴᡞᠨ ᠮᡝᠶᡝᠨ ᡩᡠᠷᡠᡤᠠᠨ ᠪᠠᠶᠠᠨ ᡝᠯᡤᡞᠶᡝᠨ ︐ ᡤᡝᠷᡝᠨ ᠨᡞᠶᠠᠯᠮᠠ ᡞ᠋ ᠴᡞᡥᠠᠯᠠᠷᠠ ᠪᡝ ᠪᠠᡥᠠᠮᡝ ᠠᠯᡞᡥᠠᠪᡞ ︒
- PROPN 3: ᡪᡠᡢᡤᡠᡢ ᡪᡠᡢᠶᠠᡢ ᡪᡝᡢᡲᡞ ᡪᡞᠣᡞ ᠴᠠᡢ ᠸᡝᡞ ︑ ᡤᡠᠪᠴᡞ ᡤᡠᠷᡠᠨ ᡰᡝᠨᡩᠠ ᡨᠣᡣᡨᠣᡥᠣ ᠸᡝᡞ ᠶᡠᠸᠠᠨ ᡥᡡᡞ ᠸᡝᡞ ᠶᡠᠸᠠᠨ ᡪᠠᡢ ᠯᡞ ᡪᠠᠨ ᡧᡠ ᡝᡪᡝᡨᡠᠯᡝᠷᡝ ᡞᠰᠠᠨ ᡩᡝ ᡨᡝᡣᡠᠯᡝᡥᡝᠪᡞ ︒
- X 1: ᡤᡠᡢᠰᡟ 2018 ᠴᡞ ᠠᠨᡞᠶᠠ 6 ᠪᡞᠶᠠ ᡩᡝ ᠠᠷᠠᠮᡨᡠᠴᡞᠪᡠᠮᡝ ᡩᡝᠷᡞᠪᡠᠮᡝ ︐ ᠣᠶᠣᡢᡤᠣ ᡨᡝᠪᡠᠨᡝᠨ 200 ᡨᠠᡞ ᠮᠠᠰᡞᠨᠠ ︑ 5 ᡨᠠᡞ ᡞᠯᡥᠠ ᡩᡠᠷᡠᡤᠠᡢᡤᠠ ᡧᡠᡢᡤᡞᡨᡠᠨ ︑ 10 ᡨᠠᡞ ᠮᡠᡨᡠᠨ ᠪᡝ ᡨᡠᠴᡞᠪᡠᠷᡝ ᡧᡠᡢᡤᡞᡨᡠᠨ ︑ 25 ᡨᠠᡞ ᡨᡝᡣᠰᡞᠯᡝᠮᡝ ᡫᡞᠶᠠᠨᠠᠷᠠᠷᠠ ᡧᡠᡢᡤᡞᡨᡠᠨ ︑ ᡝᠮᡠ ᡨᠠᡞ ᡞᠯᡥᠠ ᡧᡝᠣᠯᡝᠷᡝ ᡧᡠᡢᡤᡞᡨᡠᠨ ︐ ᡝᠮᡠ ᡨᠠᡞ ᡪᡞᠨ ᡧᡠ ᠶᠠᠨ ᡪᡝᠨ ᡧᡠᡢᡤᡞᡨᡠᠨ ︐ 5 ᡨᠠᡞ ᡦᠣᠣ ᡤᠣᠸᠠᡢ ᡧᡠᡢᡤᡞᡨᡠᠨ ᠪᡞ ︐ ᠶᠠᠰᠠᡞ ᡪᡠᠯᡝᠷᡞ ᡩᡝ ᠴᡞ ᠶᡝ ᡝᠮᡤᡝᠷᡞ ᠰᡠᠮᡝ ᠯᠠᠰᡥᠠᠯᠠᡥᠠ ᡨᡝᠰᡠ ᠪᠠ ᡞ᠋ ᡫᡠᠯᡠ ᡫᡠᠨᠴᡝᡥᡝ ᡪᠣᠪᠣᡨᡝᠨ ᡥᡡᠰᡠᠨ 150 ᠨᡞᠶᠠᠯᠮᠠ ᡩᡝ ᡥᠠᠨᠴᡞᡩᠠᠮᡝ ︐ ᡩᠠᡥᠠᠪᡠᡫᡞ ᡤᡝᠯᡞ ᠰᡞᠷᠠᠨᡩᡠᡥᠠᡞ 400 ᡩᡠᠯᡝᠷᡝ ᡪᠣᠪᠣᡨᡝᠨ ᡥᡡᠰᡠᠨ ᠪᡝ ᡤᠣᠴᡞᠮᡝ ᡩᠣᠰᡞᠪᡠᠮᠪᡞ ᠰᡝᠮᠪᡞ ︒
- ᠪᠠ
- NOUN 22: ᠶᠠᠰᠠᡞ ᡪᡠᠯᡝᠷᡞ ᡝᠮᡠ ᡤᡞᠷᡞᠨ ᡞ ᠪᠠ ᡤᡝᠮᡠ ᡤᠣᠪᡞ ᠨᠣᡥᠣ 。
- X 3: ᠯᠠ ᠪᠠ ᠰᠠᡞᡢᡤᡞ ᡩᡝ ᠯᠠ ᠪᠠ ᠪᡠᡩᠠ ᡪᡝᠮᡝ ︐ ᡤᡝᠯᡞ ᠯᠠ ᠪᠠ ᠰᡠᠸᠠᠨ ᡩᠠ ᡪᡝᠮᡝ ︐ ᠪᠣᠣ ᠪᡝ ᡤᡝᡨᡝᠷᡝᠪᡠᠮᡝ ︑ ᠮᠠᡫᠠᠷᡞ ᡩᡝ ᠸᡝᠴᡝᠮᡝ ᡩᠣᠪᠣᠮᡝ ︐ ᡪᡠᠷᡠ ᡤᡞᠰᡠᠨ ᡩᡝ ᠯᠠᠪᡩᡠ ᡤᡡᠨᡞᡤᠠᠨ ᠪᡞᠮᠪᡞ ︐ ᡪᡠᠷᡠ ᡤᡞᠰᡠᠨ ᠯᠠᡨᡠᠪᡠᠷᡝ ᡩᡝ ᡤᡝᠯᡞ ᡪᡞᠶᠠᡢᠨᠠᠨ ᠪᡞᠮᠪᡞ ︐ ᡞᠴᡝ ᠠᠨᡞᠶᠠᡞ ᠰᠠᡞᡢᡤᡞ ᡩᡝ ᠪᡞᠶᠠᠨ ᡦᠣᠣ ᠰᡞᠨᡩᠠᠷᠠ ᠰᡝᡣᡞᠶᡝᠨ ᡫᡠᠯᡝᡥᡝ ︐ ᠠᠨᡞᠶᠠᡞ ᠪᡞᠶᠠᡞ ᡨᠣᡫᠣᡥᠣᠨ ᡞᠯᡥᠠᡢᡤᠠ ᡩᡝᡢᡪᠠᠨ ᡩᠠᠪᡠᠷᡝ ᡨᠠᠴᡞᠨᡠᠨ ᡪᡝᠷᡤᡞ ᠪᡝ ᠨᡞᠷᡠᡤᠠᠨ ᡥᡝᠷᡤᡝᠨ ᡞ᠋ ᡪᡞᠶᠠᡢᠨᠠᠮᡝ ᠰᡠᠮᠪᡠᠮᡝ ᡤᡝᠷᡝᠨᠣᡫᡞ ᠪᡝ ᡞᠴᡝ ᠠᠨᡞᠶᠠ ᠰᠠᡞᡢᡤᡞ ᡞ᠋ ᡤᡝᠷᡝᠨ ᡥᠠᠴᡞᠨ ᡨᠠᠴᡞᠨᡠᠨ ᠪᡝ ᡝᠯᡝᡞ ᡧᡠᠮᡞᠨ ᡨᠠᡣᠠᠨᠪᡠᡥᠠᠪᡞ ︒
- PART 2: ᠰᡞ ᠪᠣᡠᠴᡞ ᠪᡝᡩᡝᠷᡝᡥᡝᡣᡡ ᡤᠣᡞᡩᠠᡥᠠ ᠪᠠ ?
- ᠸᡝᠨ
- NOUN 21: 12 ᠪᡞᠶᠠ 29 ᡞᠨᡝᠨᡤᡤᡞ ᡩᡝᠷᡞ ᡩᡝᠷᡞᠪᡠᠮᡝ ︐ ᡧᠠᠶᠠᠨ ᡥᠣᠨᡞᠨ ᡫᠠᠯᡤᠠ ᡤᡝᠷᡝᠨ ᡨᠣᡣᠰᠣ ︑ ᡩᠠᡞᡫᡠᠷᠠᠨ ᡪᠠᡞ ᡨᠠᠴᡞᡣᡡ ᡪᠠᡞ ᡫᠠᠯᡤᠠ ᡪᡞᡤᡠᠸᠠᠨ ᡤᡝᠮᡠ ᠪᠠᠶᠠᠨ ᡝᠯᡤᡞᠶᡝᠨ ᠯᠠᠪᡩᡠ ᡥᠠᠴᡞᠨ ᡧᡠ ᠸᡝᠨ ᡣᠠᡨᡠᠷᡝᠪᡠᠨ ᠠᡧᡧᠠᠨ ᠪᡝ ᡯᡠᡲᡞᠯᡝᡥᡝᠪᡞ ︒
- PROPN 1: ᠪᠠᠷᡥᠠ ᡧᡝᠷᡞ ᡨᠣᡣᠰᠣᡞ ᡩᠠᡢ ᡲᡞᠪᡠ ᡠᡪᡠᡞ ᡧᡠᡪᡞ ᠸᡝᠨ ᡩᡠᡢ ᡤᡞᠰᡠᠷᡝᠮᡝ ︐ ᡝᠷᡝ ᡪᡞᡢᡣᡞᠨᡞ ᡝᠮᡠ ᡫᠠᠯᡤᠠ ᡥᡡᠰᡠᠨ ᡣᡝᠮᡠᠨ ᡞ᠋ ᠮᡝᡣᡨᡝᠨ ︐ ᡧᡠᠸᡝ ᡧᠣᡧᠣᡥᠣᠨ ᡩᡝ ᡤᡝᠨᡝᠮᡝ ᠮᡝᡣᡨᡝᠷᡝᡢᡤᡝ ᡤᡝᠮᡠ ᠨᡞᠶᠠᠨᠴᠠᠨ ᡥᡡᠰᡠᠨ ︐ ᠮᡝᠨᡞ ᡨᠣᡣᠰᠣᡞ ᡞᠷᡤᡝᠨ ᡝᠷᡝ ᠮᡠᡩᠠᠨ ᠠᡧᡧᠠᠨ ᠪᡝ ᡩᡠᠯᡝᠪᡠᡫᡞ ᠪᠠᡣᡪᠠᠮᡝ ᡞᠰᠠᠷᠠ ᡥᡡᠰᡠᠨ ᡝᠯᡝ ᡝᡨᡠᡥᡠᠨ ᠣᡥᠣᠪᡞ ︒
- ᡪᡝᠨ
- NOUN 19: ᡠᠪᡠᡣᡞ ᠰᡞᠶᠠᠨ ᡩᡝ ᡨᠣᠨᡩᠣᡣᠣᠨ ᡣᠠᡩᠠᠯᠠᠪᡠᠷᡝ ᠣᠷᠣᠨ ᡞ᠋ ᠣᠶᠣᡢᡤᠣ ᡨᡠᡧᠠᠨᡠᠰᡞ ︑ ᡤᡝᠷᡝᠨ ᡤᡡᠰᠠ ︵ ᡪᡝᠨ ︶ ᡫᠠᠯᡤᠠ ᡩᡝᠨᡩᡝᠮᡝ ᡣᠠᡩᠠᠯᠠᠷᠠ ᠶᠠᠷᡥᡡᡩᠠᠰᡞ ᡪᠠᡞ ᡤᡝᠷᡝᠨ ᠴᡞ ᠶᡝ ᡫᡠᠨᡩᡝᠰᡞ ᡧᡠᠰᡞᡥᡝ ᠨᡝᡞᠯᡝᠷᡝ ᡩᠣᠷᠣᠯᠣᠨ ᡩᡝ ᠠᡩᠠᠨᠠᡥᠠᠪᡞ ︒
- PROPN 5: ᠴᡞᠨᠴᡞᠯᠠᠮᡝ ᡨᡠᠸᠠᠮᡝ ᠸᠠᡪᡞᡥᠠ ᠠᠮᠠᠯᠠ ︐ ᠰᡞ ᡪᡞᠨ ᡦᡞᡢ ᡪᡝᠷᡤᡞ ᠨᡞᠶᠠᠯᠮᠠ ᡞᠷᡤᡝᠨ ᠠᠰᡠᠷᠠᠨ ᡤᡠᠪᠴᡞ ᡪᠠᠯᠠ ᡩᡠᠷᠰᡠᠨ ᠪᠣᠣᠯᠠᠮᡝ ᡪᠠᡫᠠᡨᠠᠷᠠ ᠨᡞᠶᠠᠮᠠᠨ ᡩᡠᠯᡞᠮᠪᠠ ᡩᡝ ᡪᡞᡫᡞ ︐ ᠨᡞᠶᠠᠯᠮᠠ ᡞᠷᡤᡝᠨ ᠠᠰᡠᠷᠠᠨ ᡯᡠᡢᡮᠠᡞ ᠶᡝ ᡪᡝᠨ ᡪᡝᠨ ᡠᡨᡥᠠᡞ ᡪᠠᠯᠠ ᡩᡠᠷᠰᡠᠨ ᠸᡝᠮᡝ ᠠᠴᠠᠮᡝ ᠪᠠᡩᠠᠷᠠᠷᠠ ᠪᡝ ᠰᡠᠮᡝ ᡪᡞᠶᠠᡢᠨᠠᠮᡝ ᠪᡠᡥᡝ ︐ ᡤᡝᠷᡝᠨᠣᡫᡞ ᡝᠮᠪᠠᡩᡝ ᠯᡝᠣᠯᡝᠴᡝᡥᡝᠪᡞ ︒
- X 1: ᡨᡝᠪᡞᠴᡞ ︐ 2018 ᠴᡞ ᠠᠨᡞᠶᠠ 5 ᠪᡞᠶᠠ ᡩᡝ ᠴᠠᠪᠴᠠᠯ ᠰᡞᠶᠠᠨ ᠨᡞᡢᡤᡝ ᡥᡡᡩᠠᠰᡞ ᡝᠯᠪᡞᠮᡝ ᡠᠯᡞᠨ ᡪᡞᡥᠠ ᠶᠠᠷᡠᠮᡝ ᡩᠣᠰᡞᠪᡠᠷᡝ ᠪᡝ ᡩᡠᠯᡝᠪᡠᡫᡞ ᡥᡝ ᠪᡝᡞ ᠪᠣᠣ ᡩᡞᡢ ᡩᡝᠷᡞ ᠰᡞᠪᡣᡞᠮᡝ ᡫᡠᡥᠠᡧᠠᠮᡝ ︑ ᡨᡠᠴᡞᠪᡠᠮᡝ ᡧᡝᠣ ᡨᠣᠣ ᠪᡝ ᡥᠠᠰᡥᠠᠯᠠᠮᡝ ᠠᠷᠠᠷᠠ ᠪᡝ ᠣᠶᠣᡢᡤᠣ ᠣᠪᡠᡥᠠ ᠰᡞᠨᡪᡞᠶᠠᡢ ᠰᡞᠶᠠᠨ ᡪᡝᠨ ᡝᡨᡠᡣᡠ ᠠᡩᡠ ᡣᡝᠮᡠᡢᡤᡝ ᡤᡠᡢᠰᡟ ᠪᡝ ᠶᠠᠷᡠᠮᡝ ᡩᠣᠰᡞᠪᡠᡥᠠᠪᡞ ︒
- ᡪᡠᡢᡤᡠᡢ
Morphology
The form / lemma ratio of NOUN
is 1.045283 (the average of all parts of speech is 1.310593).
The 1st highest number of forms (4) was observed with the lemma “ᠨᡞᠶᠠᠯᠮᠠ”: ᠨᡞᠶᠠᠯᠮᠠ, ᠨᡞᠶᠠᠯᠮᠠᠰᠠ, ᠨᡞᠶᠠᠯᠮᠠᡞ, ᠨᡞᠶᠠᠯᠮᠠᡠ.
The 2nd highest number of forms (4) was observed with the lemma “ᠪᠠ”: ᠪᠠ, ᠪᠠᠪᡝ, ᠪᠠᡞ, ᠪᠠᡩᡝ.
The 3rd highest number of forms (3) was observed with the lemma “ᠠᠨᡞᠶᠠ”: ᠠᠨᡞᠶᠠ, ᠠᠨᡞᠶᠠᠴᡞ, ᠠᠨᡞᠶᠠᡞ.
NOUN
occurs with 5 features: Case (227; 5% instances), Number (34; 1% instances), Abbr (14; 0% instances), Typo (2; 0% instances), Foreign (1; 0% instances)
NOUN
occurs with 10 feature-value pairs: Abbr=Yes
, Case=Abl
, Case=Acc
, Case=Dat
, Case=Gen
, Case=Lat
, Case=Loc
, Foreign=Yes
, Number=Plur
, Typo=Yes
NOUN
occurs with 11 feature combinations.
The most frequent feature combination is _
(4328 tokens).
Examples: ᠠᠨᡞᠶᠠ, ᠨᡞᠶᠠᠯᠮᠠ, ᡞᠷᡤᡝᠨ, ᡞᠰᠠᠨ, ᡤᡠᠷᡠᠨ, ᠪᠠᡞᡨᠠ, ᡥᡝᡨᡥᡝ, ᠰᡞᠶᠠᠨ, ᡠᠰᡞᠨ, ᠸᡝᡞᠯᡝᠷᠠᠨ
Relations
NOUN
nodes are attached to their parents using 25 different relations: nmod (1385; 30% instances), obj (886; 19% instances), nsubj (573; 12% instances), obl (491; 11% instances), compound (449; 10% instances), conj (289; 6% instances), obl:tmod (112; 2% instances), obl:lmod (92; 2% instances), clf (66; 1% instances), root (63; 1% instances), xcomp (40; 1% instances), flat (39; 1% instances), appos (34; 1% instances), parataxis (21; 0% instances), flat:name (12; 0% instances), advcl (11; 0% instances), acl (10; 0% instances), nmod:poss (7; 0% instances), amod (6; 0% instances), iobj (5; 0% instances), nsubj:pass (5; 0% instances), vocative (5; 0% instances), ccomp (2; 0% instances), fixed (2; 0% instances), acl:relcl (1; 0% instances)
Parents of NOUN
nodes belong to 13 different parts of speech: VERB (2150; 47% instances), NOUN (2068; 45% instances), ADJ (127; 3% instances), X (70; 2% instances), NUM (69; 1% instances), (63; 1% instances), PROPN (20; 0% instances), PRON (14; 0% instances), DET (12; 0% instances), AUX (7; 0% instances), ADP (3; 0% instances), ADV (2; 0% instances), PART (1; 0% instances)
1508 (33%) NOUN
nodes are leaves.
1400 (30%) NOUN
nodes have one child.
979 (21%) NOUN
nodes have two children.
719 (16%) NOUN
nodes have three or more children.
The highest child degree of a NOUN
node is 11.
Children of NOUN
nodes are attached using 33 different relations: nmod (1443; 24% instances), case (1403; 23% instances), amod (524; 9% instances), compound (500; 8% instances), punct (347; 6% instances), nummod (314; 5% instances), conj (295; 5% instances), acl (276; 5% instances), acl:relcl (246; 4% instances), det (182; 3% instances), nmod:poss (101; 2% instances), cc (72; 1% instances), appos (71; 1% instances), nsubj (59; 1% instances), advmod (40; 1% instances), aux (29; 0% instances), obl (26; 0% instances), cop (24; 0% instances), advcl (22; 0% instances), flat (22; 0% instances), mark:adv (20; 0% instances), discourse (18; 0% instances), mark (17; 0% instances), parataxis (12; 0% instances), flat:name (6; 0% instances), mark:plur (5; 0% instances), obl:tmod (4; 0% instances), clf (3; 0% instances), obj (3; 0% instances), csubj (2; 0% instances), mark:rel (2; 0% instances), fixed (1; 0% instances), obl:lmod (1; 0% instances)
Children of NOUN
nodes belong to 16 different parts of speech: NOUN (2068; 34% instances), ADP (1406; 23% instances), VERB (578; 9% instances), ADJ (506; 8% instances), PUNCT (347; 6% instances), NUM (332; 5% instances), PRON (255; 4% instances), PROPN (222; 4% instances), DET (89; 1% instances), CCONJ (71; 1% instances), AUX (54; 1% instances), X (52; 1% instances), PART (50; 1% instances), ADV (47; 1% instances), SCONJ (12; 0% instances), INTJ (1; 0% instances)