One Model to Learn Both: Zero Pronoun Prediction and Translation

09/01/2019
by   Longyue Wang, et al.
0

Zero pronouns (ZPs) are frequently omitted in pro-drop languages, but should be recalled in non-pro-drop languages. This discourse phenomenon poses a significant challenge for machine translation (MT) when translating texts from pro-drop to non-pro-drop languages. In this paper, we propose a unified and discourse-aware ZP translation approach for neural MT models. Specifically, we jointly learn to predict and translate ZPs in an end-to-end manner, allowing both components to interact with each other. In addition, we employ hierarchical neural networks to exploit discourse-level context, which is beneficial for ZP prediction and thus translation. Experimental results on both Chinese-English and Japanese-English data show that our approach significantly and accumulatively improves both translation performance and ZP prediction accuracy over not only baseline but also previous works using external ZP prediction models. Extensive analyses confirm that the performance improvement comes from the alleviation of different kinds of errors especially caused by subjective ZPs.

READ FULL TEXT

Authors

page 1

page 2

page 3

page 4

10/15/2018

Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism

Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
06/24/2011

Translation of Pronominal Anaphora between English and Spanish: Discrepancies and Evaluation

This paper evaluates the different tasks carried out in the translation ...
07/01/2021

Zero-pronoun Data Augmentation for Japanese-to-English Translation

For Japanese-to-English translation, zero pronouns in Japanese pose a ch...
05/04/2018

Upping the Ante: Towards a Better Benchmark for Chinese-to-English Machine Translation

There are many machine translation (MT) papers that propose novel approa...
10/07/2018

Assessing Crosslingual Discourse Relations in Machine Translation

In an attempt to improve overall translation quality, there has been an ...
05/07/2016

Neural Recovery Machine for Chinese Dropped Pronoun

Dropped pronouns (DPs) are ubiquitous in pro-drop languages like Chinese...
This week in AI

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