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Treebank Statistics: UD_Classical_Chinese-TueCL: POS Tags: ADV

There are 28 ADV lemmas (10%), 28 ADV types (10%) and 71 ADV tokens (11%). Out of 13 observed tags, the rank of ADV is: 3 in number of lemmas, 3 in number of types and 3 in number of tokens.

The 10 most frequent ADV lemmas: 不、 則、 且、 亦、 未、 乃、 以、 故、 猶、 乎

The 10 most frequent ADV types: 不、 則、 且、 亦、 未、 乃、 以、 故、 猶、 乎

The 10 most frequent ambiguous lemmas: 以 (VERB 5, ADV 3, ADP 1), 乎 (ADP 2, ADV 2, PART 1), 奚 (ADV 2, PRON 2), _ (ADV 1, PRON 1), 今 (NOUN 2, ADV 1), 後 (NOUN 3, ADV 1), 斯 (ADV 1, PRON 1), 無 (VERB 5, ADV 1), 然 (PART 4, VERB 2, ADV 1), 而 (CCONJ 25, ADV 1, PART 1)

The 10 most frequent ambiguous types: 以 (VERB 5, ADV 3, ADP 1), 乎 (ADP 2, ADV 2, PART 1), 奚 (ADV 2, PRON 2), 今 (NOUN 2, ADV 1), 已 (VERB 2, ADV 1, PART 1), 後 (NOUN 3, ADV 1), 斯 (ADV 1, PRON 1), 无 (VERB 5, ADV 1), 然 (PART 4, VERB 2, ADV 1), 而 (CCONJ 25, ADV 1, PART 1)

• 以
  • VERB 5: 奚 以 知 其 然 也
  • ADV 3: 去 以 六 月 息 者 也
  • ADP 1: 奚 以 之 九萬 里 而 南 爲
• 乎
  • ADP 2: 此 雖 免 乎 行 猶 有 所 待 者 也
  • ADV 2: 定 乎 內 外 之 分
  • PART 1: 不 亦 悲 乎
• 奚
  • ADV 2: 彼 且 奚 適 也
  • PRON 2: 奚 以 之 九萬 里 而 南 爲
• 今
  • NOUN 2: 而 後 乃 今 培 風
  • ADV 1: 而 後 乃 今 將 圖 南
• 已
  • VERB 2: 其 視 下 也 亦 若 是 則 已 矣
  • ADV 1: 而 控 於 地 而 已 矣
  • PART 1: 湯 之 問 棘 也 是 已
• 後
  • NOUN 3: 而 後 乃 今 培 風
  • ADV 1: 而 後 乃 今 將 圖 南
• 斯
  • ADV 1: 故 九 萬 里 則 風 斯 在 下 矣
  • PRON 1: 斯 已 矣
• 无
  • VERB 5: 其 遠 而 无 所 至 極 邪
  • ADV 1: 若 夫 乘 天 地 之 正 而 御 六 氣 之 辯 以 遊 无 窮 者
• 然
  • PART 4: 腹 猶 果 然
  • VERB 2: 奚 以 知 其 然 也
  • ADV 1: 雖 然 猶 有 未 樹 也
• 而
  • CCONJ 25: 化 而 爲 鳥
  • ADV 1: 而 控 於 地 而 已 矣
  • PART 1: 適 莽 蒼 者 三 湌 而 反

Morphology

The form / lemma ratio of ADV is 1.000000 (the average of all parts of speech is 1.006873).

The 1st highest number of forms (1) was observed with the lemma “_”: 已.

The 2nd highest number of forms (1) was observed with the lemma “不”: 不.

The 3rd highest number of forms (1) was observed with the lemma “且”: 且.

ADV occurs with 4 features: Polarity (19; 27% instances), AdvType (16; 23% instances), Tense (2; 3% instances), Degree (1; 1% instances)

ADV occurs with 5 feature-value pairs: AdvType=Cau, AdvType=Tim, Degree=Equ, Polarity=Neg, Tense=Fut

ADV occurs with 6 feature combinations. The most frequent feature combination is _ (35 tokens). Examples: 且、 亦、 以、 故、 乎、 幾、 猶、 雖、 今、 又

Relations

ADV nodes are attached to their parents using 6 different relations: advmod (63; 89% instances), amod (4; 6% instances), advcl (1; 1% instances), case (1; 1% instances), fixed (1; 1% instances), obl:tmod (1; 1% instances)

Parents of ADV nodes belong to 6 different parts of speech: VERB (61; 86% instances), NOUN (4; 6% instances), ADV (2; 3% instances), NUM (2; 3% instances), ADJ (1; 1% instances), PART (1; 1% instances)

67 (94%) ADV nodes are leaves.

4 (6%) ADV nodes have one child.

The highest child degree of a ADV node is 1.

Children of ADV nodes are attached using 3 different relations: fixed (2; 50% instances), advmod (1; 25% instances), case (1; 25% instances)

Children of ADV nodes belong to 3 different parts of speech: ADV (2; 50% instances), PRON (1; 25% instances), SCONJ (1; 25% instances)

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