Транслитерация имен

task ID: nametransliteration

Related Papers

Discriminative Methods for Transliteration

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

We present two discriminative methods for name transliteration. The methods correspond to local and global modeling approaches in modeling structured output spaces. Both methods do not require alignment of names …...

44715

Named Entity Transliteration with Comparable Corpora

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Publication: TIPSTER (2006)

DOI: nan

In this paper we investigate Chinese- English name transliteration using compa- rable corpora, corpora where texts in the two languages deal in some of the same topics — and therefore …...

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A Sequence Alignment Model Based on the Averaged Perceptron

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We describe a discriminatively trained se- quence alignment model based on the av- eraged perceptron. In common with other approaches to sequence modeling using per- ceptrons, and in contrast with …...

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Improving Translation of Queries with Infrequent Unknown Abbreviations and Proper Names

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Publication: TIPSTER (2008)

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Unknown term translation is important to CLIR and MT systems, but it is still an unsolved problem. Recently, a few researchers have proposed several effective search-result-based term translation extraction methods …...

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Integrating Joint n-gram Features into a Discriminative Training Framework

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Publication: TIPSTER (2010)

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Phonetic string transduction problems, such as letter-to-phoneme conversion and name transliteration, have recently received much attention in the NLP community. In the past few years, two methods have come to …...

23770

English-Chinese Name Transliteration with Bi-Directional Syllable-Based Maximum Matching

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. In this paper, we propose a simple and intuitive yet linguistically and practically motivated method for English-Chinese name transliteration generation. Our system is essentially a syllable-based Maximum Matching system. …...

18866