14 citations · 16 across the 5 of their papers we have counts for
5 papers
LSCP: Enhanced Large Scale Colloquial Persian Language Understanding
Hadi Abdi Khojasteh, Ebrahim Ansari, Mahdi Bohlouli
Language recognition has been significantly advanced in recent years by means of modern machine learning methods such as deep learning and benchmarks with rich annotations. However…
Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval
Hadi Abdi Khojasteh, Ebrahim Ansari, Parvin Razzaghi +1
This paper considers the task of matching images and sentences by learning a visual-textual embedding space for cross-modal retrieval. Finding such a space is a challenging task si…
Extracting an English-Persian Parallel Corpus from Comparable Corpora
Akbar Karimi, Ebrahim Ansari, Bahram Sadeghi Bigham
Parallel data are an important part of a reliable Statistical Machine Translation (SMT) system. The more of these data are available, the better the quality of the SMT system. Howe…
Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora
Ebrahim Ansari, M. H. Sadreddini, Mostafa Sheikhalishahi +2
The effectiveness of a statistical machine translation system (SMT) is very dependent upon the amount of parallel corpus used in the training phase. For low-resource language pairs…
Extracting Bilingual Persian Italian Lexicon from Comparable Corpora Using Different Types of Seed Dictionaries
Ebrahim Ansari, M. H. Sadreddini, Lucio Grandinetti +3
Bilingual dictionaries are very important in various fields of natural language processing. In recent years, research on extracting new bilingual lexicons from non-parallel (compar…