We propose two new bilingual topic models to better capture the semantic information of each word while discriminating the multiple translations in a noisy ...
Dec 21, 2016 · Title:Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data. Authors:Tengfei Ma, Tetsuya Nasukawa. View a PDF of the ...
Abstract. Topic models have been successfully applied in lex- icon extraction. However, most previous methods are limited to document-aligned data.
A new bilingual topic models to better capture the semantic information of each word while discriminating the multiple translations in a noisy seed ...
Aug 19, 2017 · Topic models have been successfully applied in lexicon extraction. However, most previous methods are limited to document-aligned data.
To solve these two challenges, we propose two new bilingual topic models to better capture the semantic information of each word while discriminating the ...
Dec 20, 2016 · TL;DR: This article proposed two new bilingual topic models to better capture the semantic information of each word while discriminating the ...
inverted bilingual topic models for lexicon extraction from non ...
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Abstract Topic models have been successfully applied in lexicon extraction. However, most previous methods are limited to document-aligned data.
Bibliographic details on Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data.
In this paper, we try to address two challenges of applying topic models to lexicon extraction in non-parallel data: 1) hard to model the word relationship and ...