DE eng

Search in the Catalogues and Directories

Hits 1 – 7 of 7

1
Massively Multilingual Word Embeddings ...
BASE
Show details
2
Many Languages, One Parser ...
Abstract: We train one multilingual model for dependency parsing and use it to parse sentences in several languages. The parsing model uses (i) multilingual word clusters and embeddings; (ii) token-level language information; and (iii) language-specific features (fine-grained POS tags). This input representation enables the parser not only to parse effectively in multiple languages, but also to generalize across languages based on linguistic universals and typological similarities, making it more effective to learn from limited annotations. Our parser's performance compares favorably to strong baselines in a range of data scenarios, including when the target language has a large treebank, a small treebank, or no treebank for training. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1602.01595
https://arxiv.org/abs/1602.01595
BASE
Hide details
3
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ...
BASE
Show details
4
Cross-lingual Models of Word Embeddings: An Empirical Comparison ...
BASE
Show details
5
Learning to Compose Words into Sentences with Reinforcement Learning ...
BASE
Show details
6
Correlation-based Intrinsic Evaluation of Word Vector Representations ...
BASE
Show details
7
What Do Recurrent Neural Network Grammars Learn About Syntax? ...
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
7
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern