arXiv Open Access 2020

Pragmatic information in translation: a corpus-based study of tense and mood in English and German

Anita Ramm Ekaterina Lapshinova-Koltunski Alexander Fraser

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Abstrak

Grammatical tense and mood are important linguistic phenomena to consider in natural language processing (NLP) research. We consider the correspondence between English and German tense and mood in translation. Human translators do not find this correspondence easy, and as we will show through careful analysis, there are no simplistic ways to map tense and mood from one language to another. Our observations about the challenges of human translation of tense and mood have important implications for multilingual NLP. Of particular importance is the challenge of modeling tense and mood in rule-based, phrase-based statistical and neural machine translation.

Topik & Kata Kunci

cs.CL cs.AI

Penulis (3)

Anita Ramm

Ekaterina Lapshinova-Koltunski

Alexander Fraser

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Ramm, A., Lapshinova-Koltunski, E., Fraser, A. (2020). Pragmatic information in translation: a corpus-based study of tense and mood in English and German. https://arxiv.org/abs/2007.05234

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓