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06/09/2023
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
Most existing word alignment methods rely on manual alignment datasets o...
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10/28/2022
Domain Adaptation of Machine Translation with Crowdworkers
Although a machine translation model trained with a large in-domain para...
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10/15/2022
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing
To promote and further develop RST-style discourse parsing models, we ne...
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09/23/2022
Extending Word-Level Quality Estimation for Post-Editing Assistance
We define a novel concept called extended word alignment in order to imp...
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02/25/2022
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus
Most current machine translation models are mainly trained with parallel...
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04/29/2020
Bilingual Text Extraction as Reading Comprehension
In this paper, we propose a method to extract bilingual texts automatica...
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04/29/2020
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT
We present a novel supervised word alignment method based on cross-langu...
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11/25/2019
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
Recent machine translation algorithms mainly rely on parallel corpora. H...
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07/09/2019
NTT's Machine Translation Systems for WMT19 Robustness Task
This paper describes NTT's submission to the WMT19 robustness task. This...
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06/13/2019
Character n-gram Embeddings to Improve RNN Language Models
This paper proposes a novel Recurrent Neural Network (RNN) language mode...
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05/21/2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
Question answering (QA) using textual sources such as reading comprehens...
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08/30/2018
Direct Output Connection for a High-Rank Language Model
This paper proposes a state-of-the-art recurrent neural network (RNN) la...
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12/22/2017
Source-side Prediction for Neural Headline Generation
The encoder-decoder model is widely used in natural language generation ...
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09/26/2017
Input-to-Output Gate to Improve RNN Language Models
This paper proposes a reinforcing method that refines the output layers ...
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01/06/2017
Enumeration of Extractive Oracle Summaries
To analyze the limitations and the future directions of the extractive s...
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12/31/2016
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
This paper tackles the reduction of redundant repeating generation that ...
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12/12/2016