DE eng

Search in the Catalogues and Directories

Page: 1...3 4 5 6 7 8 9
Hits 121 – 140 of 163

121
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ...
BASE
Show details
122
Morphologically Aware Word-Level Translation ...
BASE
Show details
123
Predicting Declension Class from Form and Meaning ...
Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : ETH Zurich, 2020
BASE
Show details
124
Examining Gender Bias in Languages with Grammatical Gender ...
Zhou, Pei; Shi, Weijia; Zhao, Jieyu. - : arXiv, 2019
BASE
Show details
125
Contextualization of Morphological Inflection ...
BASE
Show details
126
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
BASE
Show details
127
Uncovering Probabilistic Implications in Typological Knowledge Bases ...
BASE
Show details
128
On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study ...
Blasi, Damian; Cotterell, Ryan; Wolf-Sonkin, Lawrence. - : Association for Computational Linguistics, 2019
BASE
Show details
129
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
130
Combining Sentiment Lexica with a Multi-View Variational Autoencoder ...
BASE
Show details
131
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction ...
BASE
Show details
132
Quantifying the Semantic Core of Gender Systems ...
BASE
Show details
133
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling ...
BASE
Show details
134
Morphological Word Embeddings ...
BASE
Show details
135
Are All Languages Equally Hard to Language-Model?
In: Proceedings of the Society for Computation in Linguistics (2019)
BASE
Show details
136
Rethinking Phonotactic Complexity
In: Proceedings of the Society for Computation in Linguistics (2019)
BASE
Show details
137
On the Complexity and Typology of Inflectional Morphological Systems
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
BASE
Show details
138
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction ...
BASE
Show details
139
Marrying Universal Dependencies and Universal Morphology ...
BASE
Show details
140
On the Complexity and Typology of Inflectional Morphological Systems ...
BASE
Show details

Page: 1...3 4 5 6 7 8 9

Catalogues
0
0
0
0
0
0
1
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
162
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern