English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Cross-Language Information Retrieval (CLIR) has become an important problemto solve in the recent years due to the growth of content in multiple languagesin the Web. One of the standard methods is to use query translation from sourceto target language. In this paper, we propose an approach based on wordembeddings, a method that captures contextual clues for a particular word inthe source language and gives those words as translations that occur in asimilar context in the target language. Once we obtain the word embeddings ofthe source and target language pairs, we learn a projection from source totarget word embeddings, making use of a dictionary with word translationpairs.We then propose various methods of query translation and aggregation. Theadvantage of this approach is that it does not require the corpora to bealigned (which is difficult to obtain for resource-scarce languages), adictionary with word translation pairs is enough to train the word vectors fortranslation. We experiment with Forum for Information Retrieval and Evaluation(FIRE) 2008 and 2012 datasets for Hindi to English CLIR. The proposed wordembedding based approach outperforms the basic dictionary based approach by 70%and when the word embeddings are combined with the dictionary, the hybridapproach beats the baseline dictionary based method by 77%. It outperforms theEnglish monolingual baseline by 15%, when combined with the translationsobtained from Google Translate and Dictionary.

UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval