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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).
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.
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.
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.
Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation
A large-scale parallel corpus is required to train encoder-decoder neural machine translation.
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.
