Toward Cross-Lingual Definition Generation for Language Learners

by   Cunliang Kong, et al.

Generating dictionary definitions automatically can prove useful for language learners. However, it's still a challenging task of cross-lingual definition generation. In this work, we propose to generate definitions in English for words in various languages. To achieve this, we present a simple yet effective approach based on publicly available pretrained language models. In this approach, models can be directly applied to other languages after trained on the English dataset. We demonstrate the effectiveness of this approach on zero-shot definition generation. Experiments and manual analyses on newly constructed datasets show that our models have a strong cross-lingual transfer ability and can generate fluent English definitions for Chinese words. We further measure the lexical complexity of generated and reference definitions. The results show that the generated definitions are much simpler, which is more suitable for language learners.



There are no comments yet.


page 1

page 2

page 3

page 4


Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing

This paper investigates the problem of learning cross-lingual representa...

Cross-Lingual Relevance Transfer for Document Retrieval

Recent work has shown the surprising ability of multi-lingual BERT to se...

What Meaning-Form Correlation Has to Compose With

Compositionality is a widely discussed property of natural languages, al...

Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks

In zero-shot cross-lingual transfer, a supervised NLP task trained on a ...

Neural Cross-Lingual Coreference Resolution and its Application to Entity Linking

We propose an entity-centric neural cross-lingual coreference model that...

Unsupervised Cross-lingual Image Captioning

Most recent image captioning works are conducted in English as the major...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.