Learning Bilingual Lexicons from Monolingual Corpora

by Aria Haghighi , Percy Liang , Taylor Berg-kirkpatrick , Dan Klein

Citations:

30 - 1 self

Datum	Value	Source
TITLE	Learning Bilingual Lexicons from Monolingual Corpora	SVM HeaderParse 0.2
AUTHOR NAME	Aria Haghighi	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Division, University of California at Berkeley	SVM HeaderParse 0.2
AUTHOR NAME	Percy Liang	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Division, University of California at Berkeley	SVM HeaderParse 0.2
AUTHOR NAME	Taylor Berg-kirkpatrick	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Division, University of California at Berkeley	SVM HeaderParse 0.2
AUTHOR NAME	Dan Klein	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Division, University of California at Berkeley	SVM HeaderParse 0.2
ABSTRACT	We present a method for learning bilingual translation lexicons from monolingual corpora. Word types in each language are characterized by purely monolingual features, such as context counts and orthographic substrings. Translations are induced using a generative model based on canonical correlation analysis, which explains the monolingual lexicons in terms of latent matchings. We show that high-precision lexicons can be learned in a variety of language pairs and from a range of corpus types. 1	SVM HeaderParse 0.2
CITATIONS	15 found	ParsCit 1.0