Atsushi Fujita

发表

Automatic Detection of Verb Valency Errors in Paraphrasing

Kentaro Inui, Atsushi Fujita, Matsumoto Yuji, 2004 .

A Consideration on the Methodology for Evaluating Large-scale Paraphrase Lexicons

Atsushi Fujita, 2013 .

Paraphrasing Japanese Light Verb Constructions: Towards the Normalization of Complex Predicates

Satoshi Sato, Atsushi Fujita, Tomoko Izumi, 2011, Int. J. Comput. Process. Orient. Lang..

FUN-NRC: Paraphrase-augmented Phrase-based SMT Systems for NTCIR-10 PatentMT

Atsushi Fujita, Marine Carpuat, Marine Carpuat, 2013, NTCIR.

Automatic Generation of Syntactically Well-formed and Semantically Appropriate Paraphrases

Atsushi Fujita, Atsushi Fujita, 2005 .

Detection of Incorrect Case Assignments in Automatically Generated Paraphrases

Yuji Matsumoto, Kentaro Inui, Atsushi Fujita, 2004 .

Iterative Training of Unsupervised Neural and Statistical Machine Translation Systems

Atsushi Fujita, Benjamin Marie, Atsushi Fujita, 2020, ACM Trans. Asian Low Resour. Lang. Inf. Process..

Tagged Back-translation Revisited: Why Does It Really Work?

Benjamin Marie, Raphaël Rubino, Atsushi Fujita, 2020, ACL.

Detecting Real Money Traders in MMORPG by Using Trading Network

Atsushi Fujita, Hitoshi Matsubara, Hiroshi Itsuki, 2011, AIIDE.

Balancing Cost and Benefit with Tied-Multi Transformers

Raphael Rubino, Raj Dabre, Atsushi Fujita, 2020, NGT.

Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers pdf

Atsushi Fujita, Benjamin Marie, Raphael Rubino, 2021, ACL.

Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation

Atsushi Fujita, Eiichiro Sumita, Kenji Imamura, 2018, NMT@ACL.

Combination of Neural Machine Translation Systems at WMT20

Benjamin Marie, Raphael Rubino, Atsushi Fujita, 2020, WMT.

NICT’s Participation in WAT 2018: Approaches Using Multilingualism and Recurrently Stacked Layers

Eiichiro Sumita, Raj Dabre, Anoop Kunchukuttan, 2018, PACLIC.

Recurrent Stacking of Layers for Compact Neural Machine Translation Models pdf

Atsushi Fujita, Raj Dabre, Atsushi Fujita, 2018, AAAI.

Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation

Raj Dabre, Atsushi Fujita, Atsushi Fujita, 2019, EMNLP.

Investigating Softmax Tempering for Training Neural Machine Translation Models pdf

Atsushi Fujita, Raj Dabre, Atsushi Fujita, 2020, MTSUMMIT.

Translation Quality Estimation Using Only Bilingual Corpora

Lemao Liu, Atsushi Fujita, Masao Utiyama, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Automatic generation of listing ads by reusing promotional texts

Satoshi Sato, Atsushi Fujita, Ko Ishiyama, 2010, ICEC '10.

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation

Sadao Kurohashi, Raj Dabre, Haiyue Song, 2019, LREC.

Understanding Pre-Editing for Black-Box Neural Machine Translation pdf

Atsushi Fujita, Rei Miyata, Rei Miyata, 2021, EACL.

Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing

Atsushi Fujita, Eiichiro Sumita, E. Sumita, 2017, WAT@IJCNLP.

Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification

Atsushi Fujita, Tomoyuki Kajiwara, Tomoyuki Kajiwara, 2017, IJCNLP.

A Poor Man’s Translation Memory Using Machine Translation Evaluation Metrics

Atsushi Fujita, Michel Simard, Michel Simard, 2012, AMTA.

Attainable Text-to-Text Machine Translation vs. Translation: Issues Beyond Linguistic Processing

Atsushi Fujita, Atsushi Fujita, 2021, MTSUMMIT.

Error Identification for Machine Translation with Metric Embedding and Attention

Raphaël Rubino, Atsushi Fujita, Benjamin Marie, 2021, EVAL4NLP.

NICT Kyoto Submission for the WMT’21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error Detection

Raphaël Rubino, Atsushi Fujita, Benjamin Marie, 2021, WMT.

Consistent Classification of Translation Revisions: A Case Study of English-Japanese Student Translations

Kyo Kageura, Atsushi Fujita, Anthony Hartley, 2017, LAW@ACL.

Synthesizing Parallel Data of User-Generated Texts with Zero-Shot Neural Machine Translation

Atsushi Fujita, Benjamin Marie, Atsushi Fujita, 2020, Transactions of the Association for Computational Linguistics.

Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings

Atsushi Fujita, Benjamin Marie, Atsushi Fujita, 2017, ACL.

Using Various Features in Machine Learning to Obtain High Levels of Performance for Recognition of Japanese Notational Variants

Masaki Murata, Atsushi Fujita, Kentaro Torisawa, 2010, PACLIC.

Kura: A Lexico-Structural Paraphrasing Engine

Kentaro Inui, Atsushi Fujita, Ryu Iida, 2001, Natural Language Processing Pacific Rim Symposium.

Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation pdf

Atsushi Fujita, Benjamin Marie, Atsushi Fujita, 2018, ArXiv.

A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation

Atsushi Fujita, Benjamin Marie, Atsushi Fujita, 2018, AMTA.

Metalanguage for the translation process

Masaru Yamada, Atsushi Fujita, Mayuka Yamamoto, 2020 .

A Thesaurus of Predicate-Argument Structure for Japanese Verbs to Deal with Granularity of Verb Meanings

Kentaro Inui, Atsushi Fujita, Koichi Takeuchi, 2010 .

Exploiting MMORPG log data toward efficient RMT player detection

Atsushi Fujita, Hitoshi Matsubara, Hiroshi Itsuki, 2010, Advances in Computer Entertainment Technology.

Domain Adaptation of Neural Machine Translation through Multistage Fine-Tuning

S. Kurohashi, Haiyue Song, Atsushi Fujita, 2020 .

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation pdf

Raj Dabre, Kenji Imamura, Atsushi Fujita, 2019, MTSummit.

Phrase Table Induction Using In-Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation

Atsushi Fujita, Benjamin Marie, Atsushi Fujita, 2017, TACL.