DE eng

Search in the Catalogues and Directories

Hits 1 – 14 of 14

1
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender ...
BASE
Show details
2
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
BASE
Show details
3
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
BASE
Show details
4
Intrinsic Probing through Dimension Selection ...
BASE
Show details
5
Information-Theoretic Probing for Linguistic Structure ...
BASE
Show details
6
Predicting Declension Class from Form and Meaning ...
BASE
Show details
7
Predicting declension class from form and meaning
BASE
Show details
8
Pareto Probing: Trading Off Accuracy for Complexity ...
BASE
Show details
9
A Tale of a Probe and a Parser ...
BASE
Show details
10
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
11
Quantifying the Semantic Core of Gender Systems ...
BASE
Show details
12
XNLI: Evaluating Cross-lingual Sentence Representations ...
BASE
Show details
13
Verb Argument Structure Alternations in Word and Sentence Embeddings ...
BASE
Show details
14
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations ...
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
14
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern