21 |
Predicting Declension Class from Form and Meaning
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
22 |
A Tale of a Probe and a Parser
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
23 |
Intrinsic Probing through Dimension Selection
|
|
|
|
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
|
|
BASE
|
|
Show details
|
|
24 |
Information-Theoretic Probing for Linguistic Structure
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
28 |
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ...
|
|
|
|
BASE
|
|
Show details
|
|
30 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
31 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
32 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
33 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
34 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
35 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
36 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
37 |
On the Idiosyncrasies of the Mandarin Chinese Classifier System ...
|
|
|
|
Abstract:
While idiosyncrasies of the Chinese classifier system have been a richly studied topic among linguists (Adams and Conklin, 1973; Erbaugh, 1986; Lakoff, 1986), not much work has been done to quantify them with statistical methods. In this paper, we introduce an information-theoretic approach to measuring idiosyncrasy; we examine how much the uncertainty in Mandarin Chinese classifiers can be reduced by knowing semantic information about the nouns that the classifiers modify. Using the empirical distribution of classifiers from the parsed Chinese Gigaword corpus (Graff et al., 2005), we compute the mutual information (in bits) between the distribution over classifiers and distributions over other linguistic quantities. We investigate whether semantic classes of nouns and adjectives differ in how much they reduce uncertainty in classifier choice, and find that it is not fully idiosyncratic; while there are no obvious trends for the majority of semantic classes, shape nouns reduce uncertainty in classifier ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.1902.10193 https://arxiv.org/abs/1902.10193
|
|
BASE
|
|
Hide details
|
|
39 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
40 |
Definiteness across languages
|
|
|
|
In: Language Science Press; (2019)
|
|
BASE
|
|
Show details
|
|
|
|