Bilingual Lexicon Extraction

This paper focuses on exploiting different models and methods in bilingual lexicon extraction, either from parallel or comparable corpora, in specialized domains. First, a special attention is given to the …...

. An automated approach of extracting bilingual lexicon from comparable, non- parallel corpora was developed for a target language with limited linguistic resources. We combined approaches from previous researches which …...

. This paper presents a language independent methodology for automatically extracting bilingual lexicon entries from the web without the need of resources like parallel or comparable corpora, POS tagging, nor …...

. Research on bilingual lexicon extraction from comparable corpora leads to promising results using large corpora (hundreds of billions of words) using the direct alignment method. However, when using smaller …...

AbstractOne of the main resources used for the task of bilingual lexicon extraction from comparable corpora is : the bilingual dictionary, which is considered as a bridge between two languages. …...

We present a new language pair agnostic ap- proach to inducing bilingual vector spaces from non-parallel data without any other re- source in a bootstrapping fashion. The pa- per systematically …...

Bilingual Lexicon Extraction from Comparable Corpora by Combining Contextual Repre- sentations Word’s context characterisation constitute the heart of most methods of bilingual lexicon extraction from comparable corpora. In this article, …...

We present CoSimRank, a graph-theoretic similarity measure that is efficient because it can compute a single node similarity without having to compute the similarities of the entire graph. We present …...

. This work focuses on the concept of lexical context that is central to the historical approach of bilingual lexicon extraction from specialized comparable corpora. First, we revisit the two …...

Statistical machine translation (SMT) suffers from the accuracy problem that the translation pairs and their feature scores in the transla- tion model can be inaccurate. The accuracy problem is caused …...

The main work in bilingual lexicon ex- traction from comparable corpora is based on the implicit hypothesis that corpora are balanced. However, the historical context- based projection method dedicated to …...

This paper proposes a range of solutions to the challenges of extracting large and high- quality bilingual lexicons for low-resource language pairs. In such scenarios there is often no parallel …...

AbstractBilingual lexicon extraction from comparable corpora is usually based on distributional methods when dealing with single word terms (SWT). These methods often treat SWT as single tokens without considering their …...

AbstractThe lack or absence of parallel and comparable corpora makes bilingual lexicon extraction becomes a difficult task for low-resource languages. Pivot language and cognate recognition approach have been proven useful …...

AbstractComparable corpora are the main alternative to the use of parallel corpora to extract bilingual lexicons. Although it is easier to build comparable corpora, specialized comparable corpora are often of …...

AbstractRecent evaluations on bilingual lexicon extraction from specialized comparable corpora have shown contrasted performance while using word embedding models. This can be partially explained by the lack of large specialized …...