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        <title>Langsmith: An Interactive Academic Text Revision System</title>
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    <name type="personal">
        <namePart type="given">Takumi</namePart>
        <namePart type="family">Ito</namePart>
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        <namePart type="given">Tatsuki</namePart>
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        <namePart type="given">Masatoshi</namePart>
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    <name type="personal">
        <namePart type="given">Jun</namePart>
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    <abstract>Despite the current diversity and inclusion initiatives in the academic community, researchers with a non-native command of English still face significant obstacles when writing papers in English. This paper presents the Langsmith editor, which assists inexperienced, non-native researchers to write English papers, especially in the natural language processing (NLP) field. Our system can suggest fluent, academic-style sentences to writers based on their rough, incomplete phrases or sentences. The system also encourages interaction between human writers and the computerized revision system. The experimental results demonstrated that Langsmith helps non-native English-speaker students write papers in English. The system is available at https://emnlp-demo.editor.langsmith.co.jp/.</abstract>
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    <identifier type="doi">10.18653/v1/2020.emnlp-demos.28</identifier>
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        <date>2020-10</date>
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            <start>216</start>
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%0 Conference Proceedings
%T Langsmith: An Interactive Academic Text Revision System
%A Ito, Takumi
%A Kuribayashi, Tatsuki
%A Hidaka, Masatoshi
%A Suzuki, Jun
%A Inui, Kentaro
%Y Liu, Qun
%Y Schlangen, David
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2020
%8 October
%I Association for Computational Linguistics
%C Online
%F ito-etal-2020-langsmith
%X Despite the current diversity and inclusion initiatives in the academic community, researchers with a non-native command of English still face significant obstacles when writing papers in English. This paper presents the Langsmith editor, which assists inexperienced, non-native researchers to write English papers, especially in the natural language processing (NLP) field. Our system can suggest fluent, academic-style sentences to writers based on their rough, incomplete phrases or sentences. The system also encourages interaction between human writers and the computerized revision system. The experimental results demonstrated that Langsmith helps non-native English-speaker students write papers in English. The system is available at https://emnlp-demo.editor.langsmith.co.jp/.
%R 10.18653/v1/2020.emnlp-demos.28
%U https://aclanthology.org/2020.emnlp-demos.28
%U https://doi.org/10.18653/v1/2020.emnlp-demos.28
%P 216-226

Markdown (Informal)

[Langsmith: An Interactive Academic Text Revision System](https://aclanthology.org/2020.emnlp-demos.28) (Ito et al., EMNLP 2020)

• Langsmith: An Interactive Academic Text Revision System (Ito et al., EMNLP 2020)

ACL

• Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, and Kentaro Inui. 2020. Langsmith: An Interactive Academic Text Revision System. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 216–226, Online. Association for Computational Linguistics.