Search Results for author:
Found 18 papers, 2 papers with code
NICT-2 Translation System at WAT-2021: Applying a Pretrained Multilingual Encoder-Decoder Model to Low-resource Language Pairs
In this paper, we present the NICT system (NICT-2) submitted to the NICT-SAP shared task at the 8th Workshop on Asian Translation (WAT-2021).
Transformer-based Double-token Bidirectional Autoregressive Decoding in Neural Machine Translation
This paper presents a simple method that extends a standard Transformer-based autoregressive decoder, to speed up decoding.
Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation
In this paper, we present domain adaptation methods for machine translation that assume multiple domains.
Extending the Subwording Model of Multilingual Pretrained Models for New Languages
Multilingual pretrained models are effective for machine translation and cross-lingual processing because they contain multiple languages in one model.
Recycling a Pre-trained BERT Encoder for Neural Machine Translation
In this paper, a pre-trained Bidirectional Encoder Representations from Transformers (BERT) model is applied to Transformer-based neural machine translation (NMT).
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019
This paper describes the NICT-2 neural machine translation system at the 6th Workshop on Asian Translation.
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation
This paper proposes a novel multilingual multistage fine-tuning approach for low-resource neural machine translation (NMT), taking a challenging Japanese--Russian pair for benchmarking.
NICT Self-Training Approach to Neural Machine Translation at NMT-2018
This paper describes the NICT neural machine translation system submitted at the NMT-2018 shared task.
Ensemble and Reranking: Using Multiple Models in the NICT-2 Neural Machine Translation System at WAT2017
In this paper, we describe the NICT-2 neural machine translation system evaluated at WAT2017.
NICT-2 Translation System for WAT2016: Applying Domain Adaptation to Phrase-based Statistical Machine Translation
This paper describes the NICT-2 translation system for the 3rd Workshop on Asian Translation.
Constructing a Class-Based Lexical Dictionary using Interactive Topic Models
This paper proposes a new method of constructing arbitrary class-based related word dictionaries on interactive topic models; we assume that each class is described by a topic.
