Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend uses machine learning to help uncover insights and relationships in unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text…
$0
per unit
Amazon Translate
Score 8.0 out of 10
N/A
Amazon Translate is a neural machine translation service used for language translation. Neural machine translation is a form of language translation automation that uses deep learning models to deliver more accurate and more natural sounding translation than traditional statistical and rule-based translation algorithms. Amazon Translate allows users to localize content - such as websites and applications - for international users, and to translate large volumes of text.
$15
Per Million Characters
Pricing
Amazon Comprehend
Amazon Translate
Editions & Modules
Syntax Analysis
$0.00005
per unit
Key Phrase Extraction
$0.0001
per unit
Sentiment Analysis
$0.0001
per unit
Entity Recognition
$0.0001
per unit
Language Detection
$0.0001
per unit
Pll Detection
$0.0001
per unit
Event Detection Per Event Type
$0.003
per unit
Standard
$15.00
Per Million Characters
Active Custom
$60.00
Per Million Characters
Offerings
Pricing Offerings
Amazon Comprehend
Amazon Translate
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Comprehend
Amazon Translate
Considered Both Products
Amazon Comprehend
Verified User
Anonymous
Chose Amazon Comprehend
For natural language processing tasks or techniques, there are many service providers out there in the market such as Azure Cloud Services, IBM Watson and Google Cloud Platform (GCP), but compared with them, Amazon Comprehend is the best service provider in contents of …
I use Google Translate and Amazon Translate. I find them both helpful. What I like more about Amazon Translate is that I can control the privacy of my files. The text entered into Google Translate enters its database and might be used for further improvement of their service; …
Specifically, it starts processing millions of documents in minutes by leveraging the power of machine learning without having trained models from scratch. If any of the content contains personally identifiable information not only can Amazon Comprehend locate it but it will also redact or mask it. Using NLP techniques Amazon Comprehend goes well beyond keyword search or rules-based tagging to accurately classify documents. For my task or development, I cannot find any difficulties with Amazon Comprehend.
I use Amazon Translate plug-in in my regular translation work. I realized that it does better in marketing and general texts. It still suffers from some shortcomings when it comes to the specific linguistic feature of Arabic. It makes some grammatical mistakes. It does not sound natural in some instances because of using uncommon word combinations.
Amazon Comprehend identifies the language of the text and extracts Key-phrases, places, people, brands or events.
It can build a custom set of entities or text classification models that are tailored uniquely to the organisation's need
Amazon Comprehend's medical can be used to identify medical conditions, medications, dosages, strength and frequencies from sources like doctor's notes, clinical trial reports and patient health records. This service is very good and with well an accuracy or confidence score.
For natural language processing tasks or techniques, there are many service providers out there in the market such as Azure Cloud Services, IBM Watson and Google Cloud Platform (GCP), but compared with them, Amazon Comprehend is the best service provider in contents of accuracy, speed of processing multilingual text, supporting SDK for most of the languages and well documented.
I use Google Translate and Amazon Translate. I find them both helpful. What I like more about Amazon Translate is that I can control the privacy of my files. The text entered into Google Translate enters its database and might be used for further improvement of their service; however, I do not like exposing the data of my clients to a third party. Therefore, I find Amazon Translate wins by large in this regard.
It supports better and accurately as compared with our existing or old implementations. So, we fulfil our needs as per clients' requirements and it will help to grow or improve client satisfaction.
For these specific requirements, we do not require any machine learning engineers or related professionals to hire in our organisation.
None of any negative sides can be affected our business or distract existing clients.