Abstract
In recent years, many studies on extracting new bilingual lexicons from non-parallel (comparable) corpora have been proposed. Nearly all apply an existing small dictionary or other resource to make an initial list named seed dictionary. In this paper we discuss on using different types of dictionaries and their combinations as the initial starting list to produce a bilingual Persian-Italian lexicon from a comparable corpus. Our experiments applied state of the art techniques on four different seed dictionaries; an existing dictionary and three dictionaries created with pivot-based schema considering three different languages as pivot. We have used English, Arabic and French as pivot languages to extract these three pivot based dictionaries. An interesting challenge in our approach is proposing a method to combine different dictionaries together producing a better and more accurate lexicon. In order to combine seed dictionaries we proposed two novel combination models and examine the effect of them on comparable corpora which are collected from News Agencies. The experimental results exploited by our implementation show the efficiency of our proposed combinations.
Highlights
Introduction and Related WorksIn the last decade, some research has been proposed to acquire bilingual lexicons from non-parallel corpora
A comparable corpus consists of sets of documents in several languages dealing with a given topic, or domain when documents have been composed independently of each other in different languages
Comparable corpora are much easier to build from commonly available documents, such as news article pairs describing the same event in different languages
Summary
Some research has been proposed to acquire bilingual lexicons from non-parallel (comparable) corpora. There is growing interest in acquiring bilingual lexicons from comparable corpora These methods are based on the assumption, which there is a correlation between co-occurrence patterns in different languages[1]. The starting point of their strategy is a list of bilingual expressions that are used to build the context vectors of all words in both languages. This starting list, or initial dictionary, is named the seed dictionary[2] and is usually provided by an external bilingual dictionary[3,4,5,6]. Some of recent methods use small parallel corpora to create their seed list[7] and some of them use no dictionary for starting phases[8]. Other three dictionaries are extracted from a pivot-based method using English, French and Arabic as the pivot language individually
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