arXiv Open Access 2020

Parsing Early Modern English for Linguistic Search

Seth Kulick Neville Ryant

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Abstrak

We investigate the question of whether advances in NLP over the last few years make it possible to vastly increase the size of data usable for research in historical syntax. This brings together many of the usual tools in NLP - word embeddings, tagging, and parsing - in the service of linguistic queries over automatically annotated corpora. We train a part-of-speech (POS) tagger and parser on a corpus of historical English, using ELMo embeddings trained over a billion words of similar text. The evaluation is based on the standard metrics, as well as on the accuracy of the query searches using the parsed data.

Topik & Kata Kunci

cs.CL

Penulis (2)

Seth Kulick

Neville Ryant

Format Sitasi

APA MLA BibTeX

Kulick, S., Ryant, N. (2020). Parsing Early Modern English for Linguistic Search. https://arxiv.org/abs/2002.10546

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Informasi Jurnal

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