A resource-light approach to Russian morphology: Tagging Russian using Czech resources

Jiri Hana; Anna Feldman; Chris Brew

A resource-light approach to Russian morphology: Tagging Russian using Czech resources

Jiri Hana, Anna Feldman, Chris Brew

Linguistics

Research output: Contribution to conference › Paper › peer-review

28 Scopus citations

Abstract

In this paper, we describe a resource-light system for the automatic morphological analysis and tagging of Russian. We eschew the use of extensive resources (particularly, large annotated corpora and lexicons), exploiting instead (i) pre-existing annotated corpora of Czech; (ii) an unannotated corpus of Russian. We show that our approach has benefits, and present what we believe to be one of the first full evaluations of a Russian tagger in the openly available literature.

Original language	English
Pages	222-229
Number of pages	8
State	Published - 2004
Event	2004 Conference on Empirical Methods in Natural Language Processing, EMNLP 2004 - Barcelona, Spain Duration: 25 Jul 2004 → 26 Jul 2004

Conference

Conference	2004 Conference on Empirical Methods in Natural Language Processing, EMNLP 2004
Country/Territory	Spain
City	Barcelona
Period	25/07/04 → 26/07/04

Cite this

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title = "A resource-light approach to Russian morphology: Tagging Russian using Czech resources",

abstract = "In this paper, we describe a resource-light system for the automatic morphological analysis and tagging of Russian. We eschew the use of extensive resources (particularly, large annotated corpora and lexicons), exploiting instead (i) pre-existing annotated corpora of Czech; (ii) an unannotated corpus of Russian. We show that our approach has benefits, and present what we believe to be one of the first full evaluations of a Russian tagger in the openly available literature.",

author = "Jiri Hana and Anna Feldman and Chris Brew",

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AU - Hana, Jiri

AU - Feldman, Anna

AU - Brew, Chris

PY - 2004

Y1 - 2004

N2 - In this paper, we describe a resource-light system for the automatic morphological analysis and tagging of Russian. We eschew the use of extensive resources (particularly, large annotated corpora and lexicons), exploiting instead (i) pre-existing annotated corpora of Czech; (ii) an unannotated corpus of Russian. We show that our approach has benefits, and present what we believe to be one of the first full evaluations of a Russian tagger in the openly available literature.

AB - In this paper, we describe a resource-light system for the automatic morphological analysis and tagging of Russian. We eschew the use of extensive resources (particularly, large annotated corpora and lexicons), exploiting instead (i) pre-existing annotated corpora of Czech; (ii) an unannotated corpus of Russian. We show that our approach has benefits, and present what we believe to be one of the first full evaluations of a Russian tagger in the openly available literature.

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M3 - Paper

AN - SCOPUS:33745521628

SP - 222

EP - 229

Y2 - 25 July 2004 through 26 July 2004

ER -

A resource-light approach to Russian morphology: Tagging Russian using Czech resources

Abstract

Conference

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