NeuralSpace Recognized as a Cool Vendor in the 2022 Gartner® Cool Vendors in Translation Technology
In the 2022 Gartner Cool Vendors in Translation Technology, report applications and software engineering leaders will find examples of Cool Vendors offering innovative tools to support emerging needs of translation use cases. We are absolutely thrilled to announce that NeuralSpace has been recognized in this report!
For us, this is a powerful step forward towards our work in building language technology in local, low-resource languages.
About NeuralSpace
NeuralSpace is a language AI company specializing in languages spoken across Asia, the Middle East and Africa. With NeuralSpace companies can use self-improving, custom automation solutions in more than 100 languages with full data privacy, market-leading accuracy, and endless scalability. The NeuralSpace platform is the foundational building block for solutions such as intelligent document processing that can extract valuable information from all sorts of documents; natural voice generation that reads out text content with hyper-realistic artificial voices; or video and audio localization that uses our machine translation models at its core.
Translation at NeuralSpace
NeuralSpace’s machine translation service is built on academic and in-house research that resulted in models available between any of the 100 languages available on NeuralSpace. Our machine translation models achieve state-of-the-art performance and can be fine-tuned to cater to specific vocabularies, may it be offering tourists information in their mother tongue or live chats between English-speaking customer support teams and Arabic-speaking customers.
Features
Language support
You can translate text between more than 100 languages covering geographies like the Middle East, India, Africa, South-East Asia, and many more
Rest-APIs for Integration
Get automatic and accurate translations in the interface of your choice through a single API
How Machine Translation is used at NeuralSpace
Live Voice to Voice Translation
Manually translating what a person is speaking live can be tedious as well as inaccurate as one has to listen, translate and speak at the same time. Only a few humans have mastered this skill and they are professional interpreters. If you have ever listened to an interpreter at a live event, you must have noticed a small lag in the voice output as well as a few missing or unclear phrases.
As complicated as this task sounds for us humans, it is a combination of multiple tasks of which each can be solved with language AI. At NeuralSpace we first transcribe the voice into text, translate it into the desired language, and then generate an audio output.
Our Voice to voice translation service can seamlessly translate voices in your desired language and with an option for you to choose from a catalog of 200 AI-generated voices.
Video Localization
Video Localization involves various other services, one of them being voice-to-voice Translation. Given a video, this service can overdub it in your desired language with an option to choose from a catalog of 100+ voices. Get more views by localizing your video content with human-like AI-generated voices. Video Localization translates videos ten times cheaper and faster than manual overdubbing services.
What else does NeuralSpace offer?
Speech-to-Text
Speech is the most natural choice of communication for humans. However, current AI models cannot semantically understand speech nearly as well as text. What if you could have a bridge that lets you use speech as an interface while also interpreting the meaning behind, to react meaningfully? NeuralSpace’s Speech To Text (STT) Service is that bridge. It is built with state-of-the-art AI models for providing accurate transcriptions of any kind of speech, may it be in conversations or other forms.
Language Understanding
Language Understanding (NLU) is one of the most integral components of a Conversational AI or sentiment analysis engine. The accuracy of NLU models is what determines the success of chatbot conversations, or how accurately the sentiment is determined. NeuralSpace’s NLU models offer the most accurate Intent Classification and Entity Recognition for many local languages spoken around the world. Our models specialize in code-switching, i.e., accurately understand messages that change between two languages (Arabic + English, Hindi + English and many more).
Entity Recognition
Entity Recognition extracts relevant information from unstructured text and classifies it into predefined categories such as names, addresses, medicines, etc. NeuralSpace offers pre-trained entities like cities, countries or names, but also lookup entities from tables, synonyms and custom, or trainable entities.
Text-to-Speech
Text-to-Speech (TTS) is the human-like voice generation of any text. TTS can offer a further enhanced experience with a sentiment integration where the model detects the sentiment of any sentence and accordingly generates an excited, happy, disappointed or sad voice.
Transliteration
For languages that don't use the Latin (English) alphabet, e.g., Arabic, Hindi, Punjabi, Sinhala, typing can be challenging as keyboards often default to Latin characters. That makes creating content in these vernacular languages difficult. With Transliteration, you can create content in these languages using your Latin keypad.
For instance, you type a word on the Latin keyboard the way you would pronounce it in Punjabi, and using transliteration you can convert that into Punjabi. It transforms a word from one alphabet to the other phonetically.
Sentence Generator
Any language processing task requires data, and we so wish we could generate data magically. Given a sentence, the Sentence Generator can generate up to ten sentences keeping the intent of the original sentence intact. It can help in creating datasets faster and make language processing models more robust.
Language Detection
If the users of your application are multilingual, you naturally have the need to detect which language they are speaking in. This helps you improve your user experience as
well as pick language-specific AI models to process what they are saying. For example, a chatbot can detect the language the user is speaking in and respond in the same language, or an email automation agent can detect the language of the sender and accordingly pick a language-specific AI model to process the rest of the conversation.
We are honored to be mentioned in this report as a Cool Vendor. This recognition is important to us, as we pursue our goal of bridging the massive language gap by enabling people to access the Internet in a language and mode of their choice.
Gartner, Cool Vendors in Translation Technology, Gabriele Rigon, Bern Elliot, et al…, 2 December 2022. GARTNER and COOL VENDORS are registered trademarks and service marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. *Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.