quiz bu lëkkale ak tegtal · Diggante Niveau
Quiz buy saytu dependence
Saytu sa xam-xam ci garabi dependence, diggante bopp-dependent, pexe parser, Dependence Universel, ak poñ biaffine.
Laaj 1 de 8
Ci jàngat dependency, naka lañuy wane jumtukaayu frase bi?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Ci jàngat dependency, naka lañuy wane jumtukaayu frase bi?
- Ni garabu lëkkalekaay buñ teg, daal di tàmbalee ci baat bu nekk dem ba ci boppam
- Ni parenthèse phrase yuñ boole
- Ni limu baat yu bari
- Spektrogram bu audio bi
- Ci 'Xaj bi dafa topp muus mi,' lan mooy reenu garabu dependence bi?
- xaj
- topp
- bi
- muus
- Lan moo wuutale jàngat dependence ak jàngat circonscription?
- Dafay boole baat yi ci ay mbind yuñ boole, du boole ay baat benn-benn
- Ci nimero rek lay dox
- Dafay lëkkale benn-benn baat ci diggante bu jub, du leen boole ci ay mbind yuñ boole
- Dafay baña bàyyi xel ci verb yi
- Lan mooy njariñu parser yu lalu ci tranzisioŋ?
- Soxla wuñu benn done tàggat
- Angale rek lañuy liggéey
- Dañuy génne audio
- Dañu gaaw lool, di daw ci diir bu ligneer
- What does Universal Dependencies offer researchers and parser developers?
- Shared annotation guidelines and dependency relations used across many language treebanks
- A dataset containing only English audio
- A fixed list of named entities for every document
- A guarantee that every parser reaches the same accuracy
- What does a biaffine scorer do in a neural dependency parser?
- It converts sentences directly into audio
- It scores candidate head-dependent arcs and their dependency labels
- It assigns image masks to pixels
- It guarantees a fixed accuracy on every benchmark
- In a basic dependency tree, what is true of a non-root word?
- It must be the sentence’s main verb
- It has no relation label
- It has one syntactic head
- It belongs to exactly one nested phrase only
- How does a graph-based parser commonly form a dependency tree?
- By translating each token independently
- By grouping words only into phrase brackets
- By removing all function words before parsing
- By scoring candidate arcs and selecting a well-formed tree