Most existing methods for automatic bilingual dictionary induction rely on prior alignments between the source and target languages, such as parallel corpora or seed dictionaries. For many language pairs, such supervised alignments are not readily available. We propose an unsupervised approach for learning a bilingual dictionary for a pair of languages given their independently-learned monoling...

Decades of work have been conducted on automated building of parallel corpus and bilingual dictionary in the field of natural language processing. However, rarely have any studies been done between high-density character-based languages and medium-density word-based languages due to the lack of resources and fundamental linguistic differences. In this paper, we describe a methodology for creati...

In this paper we present a methodology for automatically classifying the translation equivalents of a machine readable bilingual dictionary in three main groups: lexical units, lexical gaps (that is cases when a lexical concept of a language does not have a correspondent in the other language) and translation equivalents that need to be manually classified as lexical units or lexical gaps. This...

The thesis proposes creating bilingual dictionaries and Wordnets for languages without many lexical resources using resources of resource-rich languages. Our work will have the advantage of creating lexical resources, reducing time and cost and at the same time improving the quality of resources created.

A new bilingual dictionary can be built using two existing bilingual dictionaries, such as Japanese-English and English-Chinese to build Japanese-Chinese dictionary. However, Japanese and Chinese are nearer languages than English, there should be a more direct way of doing this. Since a lot of Japanese words are composed of kanji, which are similar to hanzi in Chinese, we attempt to build a dic...

PanLex is a lemmatic translation resource which combines a large number of translation dictionaries and other translingual lexical resources. It currently covers 1353 language varieties and 12M expressions, but aims to cover all languages and up to 350M expressions. This paper describes the resource and current applications of it, as well as lextract, a new effort to expand the coverage of PanL...

Bilingual dictionaries are the key component of the cross-lingual similarity estimation methods. Usually such dictionary generation is accomplished by manual or automatic means. Automatic generation approaches include to exploit parallel or comparable data to derive dictionary entries. Such approaches require large amount of bilingual data in order to produce good quality dictionary. Many time ...

The objective of this paper is to demonstrate that corpus-driven bilingual dictionaries generated fully by automatic means are suitable for human use. Previous experiments have proven that bilingual resources can be created by applying word alignment on parallel corpora and such resources are useful for bilingual dictionary compilation purposes. Moreover, the corpus-driven nature of the method ...

Bilingual dictionaries are expensive resources and not many are available when one of the languages is resource-poor. In this paper, we propose algorithms for creation of new reverse bilingual dictionaries from existing bilingual dictionaries in which English is one of the two languages. Our algorithms exploit the similarity between word-concept pairs using the English Wordnet to produce revers...