Paper Info
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 tag- ging of Russian. We eschew the use of extensive resources (particularly, large annotated corpora and lexicons), exploiting instead (i) pre-existing anno- tated 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 avail- able literature. krasiv-a beautiful (short adjective, feminine) muz-a husband (noun, masc., sing., genitive) husband (noun, masc., sing., accusative) okn-a window (noun, neuter, sing., genitive) window (noun, neuter, pl., nominative) window (noun, neuter, pl., accusative) knig-a book (noun, fem., sing., nominative) dom-a house (noun, masc., sing., genitive) house (noun, masc., pl., nominative) house (noun, masc., pl., accusative) skazal-a say (verb, fem., sing., past tense) dv-a two (numeral, masc., nominative)
Year
Venue
Keywords
2004
EMNLP
noun,morphological analysis
Field
DocType
Volume
Czech,Computer science,Artificial intelligence,Natural language processing
Conference
W04-32
Citations 
PageRank 
References 
20
1.67
11
Authors
3
Name
Order
Citations
PageRank
Jiri Hana1272.74
Anna Feldman2243.04
Chris Brew332144.44