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ACL
2006
11 years 6 months ago
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
LREC
2010
181views Education» more  LREC 2010»
11 years 7 months ago
Linguistically Motivated Unsupervised Segmentation for Machine Translation
In this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically ...
Mark Fishel, Harri Kirik
NAACL
2007
11 years 6 months ago
Joint Morphological-Lexical Language Modeling for Machine Translation
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morpholog...
Ruhi Sarikaya, Yonggang Deng
LLL
1999
Springer
11 years 9 months ago
Learning to Lemmatise Slovene Words
Abstract. Automatic lemmatisation is a core application for many language processing tasks. In inflectionally rich languages, such as Slovene, assigning the correct lemma to each ...
Saso Dzeroski, Tomaz Erjavec
ACL
2007
11 years 7 months ago
Generating Complex Morphology for Machine Translation
We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...
Einat Minkov, Kristina Toutanova, Hisami Suzuki
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