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Found 12 papers, 1 papers with code
ELITR: European Live Translator
ELITR (European Live Translator) project aims to create a speech translation system for simultaneous subtitling of conferences and online meetings targetting up to 43 languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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SLTEV: Comprehensive Evaluation of Spoken Language Translation
SLTev reports the quality, latency, and stability of an SLT candidate output based on the time-stamped transcript and reference translation into a target language.
ELITR Multilingual Live Subtitling: Demo and Strategy
This paper presents an automatic speech translation system aimed at live subtitling of conference presentations.
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN
The evaluation campaign of the International Conference on Spoken Language Translation (IWSLT 2020) featured this year six challenge tracks: (i) Simultaneous speech translation, (ii) Video speech translation, (iii) Offline speech translation, (iv) Conversational speech translation, (v) Open domain translation, and (vi) Non-native speech translation.
LSCP: Enhanced Large Scale Colloquial Persian Language Understanding
In order to target this gap for low resource languages, we propose a "Large Scale Colloquial Persian Dataset" (LSCP).
Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval
This paper considers the task of matching images and sentences by learning a visual-textual embedding space for cross-modal retrieval.
Supervised Morphological Segmentation Using Rich Annotated Lexicon
In the experimental phase, using the hand-annotated Persian lexicon and two smaller similar lexicons for Czech and Finnish languages, we evaluated the effect of the training data size, different hyper-parameters settings as well as different RNN-based models.
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles
Nowadays, automobile manufacturers make efforts to develop ways to make cars fully safe.
Extracting an English-Persian Parallel Corpus from Comparable Corpora
Two machine translation systems are employed to translate from Persian to English and the reverse after which an IR system is used to measure the similarity of the translated sentences.
Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora
Experimental results show that using the new pivot based extraction can increase the quality of bilingual corpus significantly and consequently improves the performance of the Persian-Italian SMT system.
Extracting Bilingual Persian Italian Lexicon from Comparable Corpora Using Different Types of Seed Dictionaries
In order to combine seed dictionaries, we propose two different combination models and examine the effect of our novel combination models on various comparable corpora that have differing degrees of comparability.
