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Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?
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In: Transactions of the Association for Computational Linguistics, Vol 10, Pp 359-375 (2022) (2022)
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| 2 |
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 211-225 (2021) (2021)
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| 3 |
Lexically Aware Semi-Supervised Learning for OCR Post-Correction
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1285-1302 (2021) (2021)
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| 4 |
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 962-977 (2021) (2021)
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| 5 |
Reducing Confusion in Active Learning for Part-Of-Speech Tagging
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1-16 (2021) (2021)
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| 6 |
MasakhaNER: Named Entity Recognition for African Languages
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1116-1131 (2021) (2021)
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| 7 |
Collection of a simultaneous translation corpus for comparative analysis
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/162_Paper.pdf (2014)
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| 8 |
A monotonic statistical machine translation approach to speaking style transformation
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In: http://www.phontron.com/paper/neubig12csl.pdf (2012)
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| 9 |
An Event-Related Brain Potential Study on the Impact of Speech Recognition Errors
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In: http://www.phontron.com/paper/sakti14apsipa.pdf
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| 10 |
The NAIST English Speech Recognition System for IWSLT 2015
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In: http://www.phontron.com/paper/heck15iwslt.pdf
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| 11 |
The NAIST English Speech Recognition System for IWSLT 2015
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In: http://workshop2015.iwslt.org/downloads/IWSLT_2015_EP_8.pdf
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| 12 |
Rule-based Syntactic Preprocessing for Syntax-based Machine Translation
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In: http://www.aclweb.org/anthology/W/W14/W14-4004.pdf
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| 13 |
Unsupervised Learning of Lexical Information for Language Processing Systems
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In: http://www.phontron.com/paper/neubig-thesis.pdf
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| 14 |
Data-Driven Generation of Text Balloons based on Linguistic and Acoustic Features of a Comics-Anime Corpus
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In: http://www.phontron.com/paper/matsumiya14interspeech.pdf
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| 15 |
INTERSPEECH 2010 Learning a Language Model from Continuous Speech
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In: http://www.ar.media.kyoto-u.ac.jp/EN/bib/intl/NEU-INTERSP10.pdf
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| 16 |
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
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In: http://www.phontron.com/paper/neubig15wat.pdf
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| 17 |
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
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In: http://wing.comp.nus.edu.sg/%7Eantho/W/W15/W15-5003.pdf
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| 18 |
Substring-based Machine Translation
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In: http://www.phontron.com/paper/neubig13mtj.pdf
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| 19 |
TOWARDS LANGUAGE PRESERVATION: PRELIMINARY COLLECTION AND VOWEL ANALYSIS OF INDONESIAN ETHNIC SPEECH DATA
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In: http://www.phontron.com/paper/sani12ococosda.pdf
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| 20 |
TOWARDS LANGUAGE PRESERVATION: PRELIMINARY COLLECTION AND VOWEL ANALYSIS OF INDONESIAN ETHNIC SPEECH DATA
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In: http://spalab.naist.jp/~tomoki/Tomoki/Conferences/OCOCOSDA2012_LangPreserv.pdf
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