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A Bayesian Alignment Approach to Transliteration Mining
Takaaki Fukunishi, Andrew Finch, Seiichi Yamamoto, Eiichiro Sumita
Article No.: 9
In this article we present a technique for mining transliteration pairs using a set of simple features derived from a many-to-many bilingual forced-alignment at the grapheme level to classify candidate transliteration word pairs as correct...
A Named Entity Recognition Method Based on Decomposition and Concatenation of Word Chunks
Tomoya Iwakura, Hiroya Takamura, Manabu Okumura
Article No.: 10
We propose a named entity (NE) recognition method in which word chunks are repeatedly decomposed and concatenated. Our method identifies word chunks with a base chunker, such as a noun phrase chunker, and then recognizes NEs from the recognized...
Normalizing Complex Functional Expressions in Japanese Predicates: Linguistically-Directed Rule-Based Paraphrasing and Its Application
Tomoko Izumi, Kenji Imamura, Taichi Asami, Kuniko Saito, Genichiro Kikui, Satoshi Sato
Article No.: 11
The growing need for text mining systems, such as opinion mining, requires a deep semantic understanding of the target language. In order to accomplish this, extracting the semantic information of functional expressions plays a crucial role,...
This article proposes a novel reordering method for efficient two-step Japanese-to-English statistical machine translation (SMT) that isolates reordering from SMT and solves it after lexical translation. This reordering problem, called...