A nearest-neighbor approach to the automatic analysis of ancient Greek morphology

John Lee

A nearest-neighbor approach to the automatic analysis of ancient Greek morphology

John Lee^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

We propose a data-driven method for automatically analyzing the morphology of ancient Greek. This method improves on existing ancient Greek analyzers in two ways. First, through the use of a nearestneighbor machine learning framework, the analyzer requires no hand-crafted rules. Second, it is able to predict novel roots, and to rerank its predictions by exploiting a large, unlabelled corpus of ancient Greek. © 2008.

Original language	English
Title of host publication	CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning
Pages	127-134
Publication status	Published - 2008
Externally published	Yes
Event	12th Conference on Computational Natural Language Learning, CoNLL 2008 - Manchester, United Kingdom Duration: 16 Aug 2008 → 17 Aug 2008

Conference

Conference	12th Conference on Computational Natural Language Learning, CoNLL 2008
Place	United Kingdom
City	Manchester
Period	16/08/08 → 17/08/08

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title = "A nearest-neighbor approach to the automatic analysis of ancient Greek morphology",

abstract = "We propose a data-driven method for automatically analyzing the morphology of ancient Greek. This method improves on existing ancient Greek analyzers in two ways. First, through the use of a nearestneighbor machine learning framework, the analyzer requires no hand-crafted rules. Second, it is able to predict novel roots, and to rerank its predictions by exploiting a large, unlabelled corpus of ancient Greek. {\textcopyright} 2008.",

author = "John Lee",

year = "2008",

language = "English",

isbn = "1905593481",

pages = "127--134",

booktitle = "CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning",

note = "12th Conference on Computational Natural Language Learning, CoNLL 2008 ; Conference date: 16-08-2008 Through 17-08-2008",

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AU - Lee, John

PY - 2008

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N2 - We propose a data-driven method for automatically analyzing the morphology of ancient Greek. This method improves on existing ancient Greek analyzers in two ways. First, through the use of a nearestneighbor machine learning framework, the analyzer requires no hand-crafted rules. Second, it is able to predict novel roots, and to rerank its predictions by exploiting a large, unlabelled corpus of ancient Greek. © 2008.

AB - We propose a data-driven method for automatically analyzing the morphology of ancient Greek. This method improves on existing ancient Greek analyzers in two ways. First, through the use of a nearestneighbor machine learning framework, the analyzer requires no hand-crafted rules. Second, it is able to predict novel roots, and to rerank its predictions by exploiting a large, unlabelled corpus of ancient Greek. © 2008.

UR - https://www.scopus.com/pages/publications/79955445028

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-79955445028&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 1905593481

SN - 9781905593484

SP - 127

EP - 134

BT - CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning

T2 - 12th Conference on Computational Natural Language Learning, CoNLL 2008

Y2 - 16 August 2008 through 17 August 2008

ER -

A nearest-neighbor approach to the automatic analysis of ancient Greek morphology

Abstract

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