Constituency Parsing by Cross-Lingual Delexicalization

Cross-lingual transfer is an important technique for low-resource language processing. Temporarily, most research on syntactic parsing works on the dependency structures. This work investigates cross-lingual parsing on another type of important syntactic structure, i.e., the constituency structure....

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.141571-141578
Main Authors: Kaing, Hour, Ding, Chenchen, Utiyama, Masao, Sumita, Eiichiro, Sudoh, Katsuhito, Nakamura, Satoshi
Format: Article
Language:English
Subjects:
Cross-lingual
delexicalization
Natural language processing
Resource management
Semantics
Speech recognition
syntactic parsing
Syntactics
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Cross-lingual transfer is an important technique for low-resource language processing. Temporarily, most research on syntactic parsing works on the dependency structures. This work investigates cross-lingual parsing on another type of important syntactic structure, i.e., the constituency structure. We propose a delexicalized approach, where part-of-speech sequences of rich-resource languages are used to train cross-lingual models to parse low-resource languages. We also investigate the measurements on the selection of proper rich-resource languages for specific low-resource languages. The experiments show that the delexicalized approach outperforms state-of-the-art unsupervised models on six languages by a margin of 4.2 to 37.0 of sentence-level F1-score. Based on the experiment results, the limitation and future work of the delexicalized approach are discussed.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3120382