Bilingual lexicon induction is the task of inducing word translations from monolingual
corpora in two languages. In this article we present the most comprehensive analysis of …

A pivot‐based approach for bilingual lexicon extraction is based on the similarity of context
vectors represented by words in a pivot language like English. In this paper, in order to show …

Databases containing lexical properties are of primary importance to psycholinguistic
research and speech-language therapy. Several lexical databases for different languages …

Cross-Language Information Retrieval (CLIR) is a sub field of Information Retrieval (IR). Like
IR, in CLIR for a particular information need, we have to find relevant information or …

The objective of this thesis is to directly incorporate comparable corpora into the estimation
of end-to-end statistical machine translation (SMT) models. Typically, SMT models are …

Bilingual lexicon induction is the task of inducing word translations from monolingual
corpora in two languages. We introduce a novel discriminative approach to bilingual lexicon …

Comparable corpora are valuable alternatives for the expensive parallel corpora. They
comprise informative parallel fragments that are useful resources for different natural …

Previously, statistical machine translation (SMT) models have been estimated from parallel
corpora, or pairs of translated sentences. In this thesis, we directly incorporate comparable …

This paper presents the performance enhancement of automatic bilingual lexicon extraction
by using refinement of pivot-context vectors under the standard pivot-based approach, which …

A pivot-based approach for bilingual lexicon extraction is based on the similarity of context
vectors represented by words in a pivot language like English. In this paper, in order to show …