Mamoru Komachi

research

∙ 05/10/2023

WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia

Wikipedia can be edited by anyone and thus contains various quality sent...

0 Kenichiro Ando, et al. ∙

research

∙ 03/10/2023

Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?

During the patient's hospitalization, the physician must record daily ob...

0 Kenichiro Ando, et al. ∙

research

∙ 09/20/2022

Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan

Automated summarization of clinical texts can reduce the burden of medic...

0 Kenichiro Ando, et al. ∙

research

∙ 01/27/2022

Learning How to Translate North Korean through South Korean

South and North Korea both use the Korean language. However, Korean NLP ...

0 Hwichan Kim, et al. ∙

research

∙ 01/20/2022

Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction

In grammatical error correction (GEC), automatic evaluation is an import...

0 Daisuke Suzuki, et al. ∙

research

∙ 01/17/2022

Proficiency Matters Quality Estimation in Grammatical Error Correction

This study investigates how supervised quality estimation (QE) models of...

0 Yujin Takahashi, et al. ∙

research

∙ 05/15/2021

From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

The lack of publicly available evaluation data for low-resource language...

0 Rob van der Goot, et al. ∙

research

∙ 04/17/2021

Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation

Neural machine translation (NMT) has recently gained widespread attentio...

0 Seiichiro Kondo, et al. ∙

research

∙ 04/16/2021

Comparison of Grammatical Error Correction Using Back-Translation Models

Grammatical error correction (GEC) suffers from a lack of sufficient par...

0 Aomi Koyama, et al. ∙

research

∙ 11/04/2020

Chinese Grammatical Correction Using BERT-based Pre-trained Model

In recent years, pre-trained models have been extensively studied, and s...

0 Hongfei Wang, et al. ∙

research

∙ 10/05/2020

JSSS: free Japanese speech corpus for summarization and simplification

In this paper, we construct a new Japanese speech corpus for speech-base...

0 Shinnosuke Takamichi, et al. ∙

research

∙ 06/23/2020

Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020

Video-guided machine translation as one of multimodal neural machine tra...

0 Tosho Hirasawa, et al. ∙

research

∙ 05/24/2020

Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model

Grammatical error correction (GEC) literature has reported on the effect...

0 Satoru Katsumata, et al. ∙

research

∙ 04/07/2020

Towards Multimodal Simultaneous Neural Machine Translation

Simultaneous translation involves translating a sentence before the spea...

0 Aizhan Imankulova, et al. ∙

research

∙ 09/11/2019

Dynamic Fusion: Attentional Language Model for Neural Machine Translation

Neural Machine Translation (NMT) can be used to generate fluent output. ...

0 Michiki Kurosawa, et al. ∙

research

∙ 09/02/2019

Improving Context-aware Neural Machine Translation with Target-side Context

In recent years, several studies on neural machine translation (NMT) hav...

0 Hayahide Yamagishi, et al. ∙

research

∙ 07/29/2019

Machine Translation Evaluation with BERT Regressor

We introduce the metric using BERT (Bidirectional Encoder Representation...

0 Hiroki Shimanaka, et al. ∙

research

∙ 07/23/2019

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus

We introduce unsupervised techniques based on phrase-based statistical m...

0 Satoru Katsumata, et al. ∙

research

∙ 05/24/2019

Debiasing Word Embeddings Improves Multimodal Machine Translation

In recent years, pretrained word embeddings have proved useful for multi...

0 Tosho Hirasawa, et al. ∙

research

∙ 05/24/2019

DebiasingWord Embeddings Improves Multimodal Machine Translation

In recent years, pretrained word embeddings have proved useful for multi...

0 Tosho Hirasawa, et al. ∙

research

∙ 04/15/2019

Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection

It is known that a deep neural network model pre-trained with large-scal...

0 Masahiro Kaneko, et al. ∙

research

∙ 04/03/2019

Multi-task Learning for Japanese Predicate Argument Structure Analysis

An event-noun is a noun that has an argument structure similar to a pred...

0 Hikaru Omori, et al. ∙

research

∙ 04/01/2019

Multimodal Machine Translation with Embedding Prediction

Multimodal machine translation is an attractive application of neural ma...

0 Tosho Hirasawa, et al. ∙

research

∙ 03/01/2019

Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information

Unsupervised neural machine translation (UNMT) requires only monolingual...

0 Longtu Zhang, et al. ∙

research

∙ 01/29/2019

Divide and Generate: Neural Generation of Complex Sentences

We propose a task to generate a complex sentence from a simple sentence ...

0 Tomoya Ogata, et al. ∙

research

∙ 09/28/2018

The Rule of Three: Abstractive Text Summarization in Three Bullet Points

Neural network-based approaches have become widespread for abstractive t...

0 Tomonori Kodaira, et al. ∙

research

∙ 09/07/2018

Neural Machine Translation of Logographic Languages Using Sub-character Level Information

Recent neural machine translation (NMT) systems have been greatly improv...

0 Longtu Zhang, et al. ∙

research

∙ 05/28/2018

Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models

Encoder-decoder models typically only employ words that are frequently u...

0 Satoru Katsumata, et al. ∙

research

∙ 05/25/2018

Japanese Predicate Conjugation for Neural Machine Translation

Neural machine translation (NMT) has a drawback in that can generate onl...

0 Michiki Kurosawa, et al. ∙

research

∙ 05/18/2018

Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations

Sentence representations can capture a wide range of information that ca...

0 Hiroki Shimanaka, et al. ∙

research

∙ 09/23/2017

Long Short-Term Memory for Japanese Word Segmentation

This study presents a Long Short-Term Memory (LSTM) neural network appro...

0 Yoshiaki Kitagawa, et al. ∙

research

∙ 06/26/2017

English-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor

Neural machine translation (NMT) has recently become popular in the fiel...

0 Yukio Matsumura, et al. ∙

research

∙ 04/04/2017

Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention

Previous approaches to training syntax-based sentiment classification mo...

0 Ryosuke Miyazaki, et al. ∙

research

∙ 04/02/2017

Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings

One of the most important problems in machine translation (MT) evaluatio...

0 Junki Matsuo, et al. ∙

research

∙ 03/17/2017

Construction of a Japanese Word Similarity Dataset

An evaluation of distributed word representation is generally conducted ...

0 Yuya Sakaizawa, et al. ∙

research

∙ 03/15/2017

Sparse Named Entity Classification using Factorization Machines

Named entity classification is the task of classifying text-based elemen...

0 Ai Hirata, et al. ∙

Mamoru Komachi

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