Speech translation

AppTek Achieves Top Ranking at the International Workshop in Spoken Language Translation's (IWSLT) 2021 Evaluation Campaign

Retrieved on: 
Wednesday, August 4, 2021
Computational linguistics, Academic disciplines, Articles, Translation, Artificial intelligence, Artificial intelligence applications, Speech translation, Machine translation, Speech recognition

AppTek entered the competition to measure the performance of its end-to-end SLT system against other leading platforms developed by corporate and academic science teams around the world.

Key Points: 
  • AppTek entered the competition to measure the performance of its end-to-end SLT system against other leading platforms developed by corporate and academic science teams around the world.
  • For the first time in company history, AppTek's direct speech translation system outperformed our alternative cascaded approach," said Evgeny Matusov, Lead Science Architect, Machine Translation, at AppTek.
  • Spoken language translation has traditionally been performed through cascaded approaches whereby a speech transcript is first created by an automatic speech recognition system and then translated using an MT system.
  • AppTek scientists Parnia Bahar and Patrick Wilken will present the details of AppTek's submission at this year's online IWSLT conference on August 5-6, 2021.

AppTek Named Representative Vendor in 2020 Gartner Market Guide for AI-Enabled Translation Services

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Wednesday, January 13, 2021
Service companies, Speech recognition, Machine translation, Consulting, Apptek, Gartner, Translate, Speech translation, Tertiary sector of the economy

"We are honored to be recognized as one of 13 representative vendors in the Gartner AI-Enabled Translation Services Market Guide", said AppTek CEO Mudar Yaghi.

Key Points: 
  • "We are honored to be recognized as one of 13 representative vendors in the Gartner AI-Enabled Translation Services Market Guide", said AppTek CEO Mudar Yaghi.
  • Recently Apptek announced its top ranking in multiple categories of the 17th annual International Workshop on Spoken Language Translation (IWSLT 2020).
  • AppTek's speech translation capabilities are available for demonstration to consumers through the Apple App Store at AppTek Speech Translate and AppTek Speech Transcribe.
  • Gartner, "Market Guide for AI-Enabled Translation Services," Bern Elliot, Anthony Mullen, Jessica Ekholm, Adrian Lee, December 14, 2020.

The Must-have Cross-Border Travel Gadget for an Ultimate Business Traveler

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Friday, November 27, 2020
Computer access control, eSIM, Speech translation, Telecommunications

The product designer behind the scene is Sylvain Vanderhaegen from France who has more than ten years of industrial design experience.

Key Points: 
  • The product designer behind the scene is Sylvain Vanderhaegen from France who has more than ten years of industrial design experience.
  • MSA supports 72 languages for speech translation and 56 for image translation.
  • It is creatively integrated with conference and speech mode where both are pioneer in the industry.
  • This must-have cross border gadget integrates eSIM and NMT technologies and operates on a unique sharing platform.

AppTek Wins 2020 AI Breakthrough Award for Automatic Speech Recognition

Retrieved on: 
Tuesday, September 1, 2020
Data management, Technology, VoIP, Other Technology, Audio, Video, Mobile, Wireless, Software, Articles, Academic disciplines, Computational linguistics, Science and technology, Cybernetics, Artificial intelligence applications, Apptek, Speech recognition, Artificial intelligence, Machine translation, Speech translation, Machine learning

AppTek , a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), and Natural Language Understanding (NLU) technologies, today announced that its Automatic Speech Recognition (ASR) solution has been selected as winner of the third annual AI Breakthrough Awards in the Best Speech to Text Solution" category.

Key Points: 
  • AppTek , a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), and Natural Language Understanding (NLU) technologies, today announced that its Automatic Speech Recognition (ASR) solution has been selected as winner of the third annual AI Breakthrough Awards in the Best Speech to Text Solution" category.
  • AI Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global AI market today.
  • In addition, the company recently released two new speech technology applications AppTek Speech Translate and AppTek Speech Transcribedesigned to make AppTeks speech translation capabilities accessible to consumers and available through the Apple App Store.
  • AppTek is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), and natural language understanding (NLU).

AppTek Ranks First in Multiple Tracks of the 2020 Evaluation Campaign of the International Workshop in Spoken Language Translation (IWSLT)

Retrieved on: 
Wednesday, August 12, 2020
Audio, Video, Other Entertainment, Telecommunications, Software, Internet, Hardware, Electronic design automation, Data management, Consumer electronics, Social media, Technology, Mobile, Wireless, Entertainment, Blogging, Publishing, Marketing, Advertising, Communications, General Entertainment, Articles, Academic disciplines, Computational linguistics, Artificial intelligence applications, Formal sciences, Cybernetics, Speech translation, Machine translation, Neural machine translation, Speech recognition, Apptek, Machine learning

AppTek , a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT) and Natural Language Understanding (NLU) technologies, today announced that its platform ranked first in multiple categories of the evaluation campaign of the 17th annual International Workshop on Spoken Language Translation ( IWSLT 2020 ).

Key Points: 
  • AppTek , a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT) and Natural Language Understanding (NLU) technologies, today announced that its platform ranked first in multiple categories of the evaluation campaign of the 17th annual International Workshop on Spoken Language Translation ( IWSLT 2020 ).
  • The competition was held in March and April of 2020, with results announced during a July workshop hosted by the Association for Computational Linguistics .
  • The company participated in tracks for English-to-German speech translation, out of which it won first place in Offline Speech Translation and Non-Native Speech Translation.
  • Using a model close to production settings, AppTek achieves the best possible speech translation quality for German when measured against its academic and enterprise peers.

AppTek Launches Two New Mobile Applications to Help Consumers Address Multi-Lingual Communication and Collaboration Challenges in Real-Time

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Thursday, July 9, 2020
Education, Other Health, Other Consumer, Social media, Blogging, VoIP, Consumer, Mobile, Wireless, Other Travel, Other Communications, Travel, Publishing, Other Transport, General Health, Health, Public relations, Investor relations, Marketing, Advertising, Communications, Transport, Other Technology, Telecommunications, Software, Internet, Hardware, Science, Electronic design automation, Other Entertainment, Data management, Consumer electronics, Technology, Entertainment, Other Science, Training, Audio, Video, Other Education, Computational linguistics, Academic disciplines, Artificial intelligence applications, Computational science, Artificial intelligence, Machine translation, Speech recognition, Apptek, Speech translation, Speech synthesis, Natural-language understanding, Neural machine translation

AppTek Speech Translate is a two-way speech communication application that offers conversational real-time streaming speech-to-speech translation using the latest in artificial intelligence and machine learning for Neural Machine Translation, Automatic Speech Recognition and Text-to-Speech technologies.

Key Points: 
  • AppTek Speech Translate is a two-way speech communication application that offers conversational real-time streaming speech-to-speech translation using the latest in artificial intelligence and machine learning for Neural Machine Translation, Automatic Speech Recognition and Text-to-Speech technologies.
  • AppTek Speech Translate allows users to:
    Access 100 pre-loaded offline phrases to help in Emergency, Medical, Transportation, and Dining situations
    AppTek Speech Transcribe is designed to simplify the transcription experience for consumers while providing superior accuracy.
  • For a limited time, both applications are available on the App Store at no cost.
  • AppTek is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), and natural language understanding (NLU).

Global Speech to Speech Translation Market - Growth, Trends, and Forecasts (2019-2024) - ResearchAndMarkets.com

Retrieved on: 
Wednesday, October 16, 2019
Professional services, Consulting, Academic disciplines, Computational linguistics, Linguistics, Artificial intelligence applications, Fields of mathematics, Machine translation, Meaning, Translation, Speech translation, Compound annual growth rate, Mobile translation

The "Speech to Speech Translation Market - Growth, Trends, and Forecast (2019-2024)" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • The "Speech to Speech Translation Market - Growth, Trends, and Forecast (2019-2024)" report has been added to ResearchAndMarkets.com's offering.
  • The speech to speech translation market is projected to record a CAGR of 20.19% over the forecast period, 2019-2024.
  • Growth of the global tourism industry is influencing the demand for speech to speech translation devices and software market positively.
  • This is being solved by either speech to speech translation devices or applications.

Sogou's Co-developed Speech Translation System Ranked No.1 at IWSLT 2018

Retrieved on: 
Thursday, November 8, 2018
Sohu, Internet search engines, Tencent, Sogou, Higher education in China, Linguistics, World Wide Web, Translation, Artificial intelligence applications, Speech translation, Machine translation, BLEU

BEIJING, Nov.8, 2018 /PRNewswire/ -- Sogou Inc. (NYSE: SOGO) ("Sogou" or "the Company"), an innovator in search and a leader in China's internet industry, today announced that the Company's co-developed Speech Translation System ranked first in the Baseline Model of Spoken Language Translation (SLT) at the International Workshop on Spoken Language Translation (IWSLT) 2018 that took place in Bruges, Belgium, October 29-30, 2018.

Key Points: 
  • BEIJING, Nov.8, 2018 /PRNewswire/ -- Sogou Inc. (NYSE: SOGO) ("Sogou" or "the Company"), an innovator in search and a leader in China's internet industry, today announced that the Company's co-developed Speech Translation System ranked first in the Baseline Model of Spoken Language Translation (SLT) at the International Workshop on Spoken Language Translation (IWSLT) 2018 that took place in Bruges, Belgium, October 29-30, 2018.
  • In the SLT Baseline Model, the Sogou-TIIC Speech Translation System ranked highest with 28.09 BLEU points, a common metric for measuring the accuracy of machine translation, 1.6 BLEU points higher than the next company.
  • Sogou's Speech Translation System was developed in collaboration with the Tiangong Institute for Intelligent Computing (TIIC), an AI research institute jointly-established by Sogou and Tsinghua University in 2016.
  • Yanfeng Wang, leader of Sogou's Voice Interaction Technology Center which co-developed the speech translation system used at IWSLT, said, "We are delighted to have won the Baseline Model competition, the toughest global contest in speech translation.