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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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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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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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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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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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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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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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Abstract:
This paper describes the collection of an English-Japanese/Japanese-English simultaneous interpretation corpus. There are two main features of the corpus. The first is that professional simultaneous interpreters with different amounts of experience cooperated with the collection. By comparing data from simultaneous interpretation of each interpreter, it is possible to compare better interpretations to those that are not as good. The second is that for part of our corpus there are already translation data available. This makes it possible to compare translation data with simultaneous interpretation data. We recorded the interpretations of lectures and news, and created time-aligned transcriptions. A total of 387k words of transcribed data were collected. The corpus will be helpful to analyze differences in interpretations styles and to construct simultaneous interpretation systems.
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Keyword:
corpus collection; simultaneous interpretation; simultaneous translation
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.675.4180 http://www.lrec-conf.org/proceedings/lrec2014/pdf/162_Paper.pdf
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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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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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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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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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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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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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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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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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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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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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Substring-based Machine Translation
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In: http://www.phontron.com/paper/neubig13mtj.pdf
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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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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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