Sold by: Instituto Ingenieria ConocimientoÂ
Deployed on AWS
Language Understanding and Clarity Evaluation for Spanish (LUCES) evaluates text linguistic features and detect clarity improvement areas
Overview
LUCES is a clear communication analyzer for Spanish texts that serves to evaluate the degree of clarity and transparency a given text has in terms of its contents. It uses NLP advanced analysis to automatically spot linguistic aspects to be improved for the sake of information transparency.
LUCES can be used as a text writing assistant and as a text clarity evaluator, maximizing content understandability in both cases.
LUCES is specifically designed to improve text clarity from a general linguistics perspective. If you are interested in facilitating information access for people with reading or comprehension difficulties, have a look at ERAS (https://aws.amazon.com/marketplace/pp/prodview-j7ulhcy66xlrc?sr=0-2&ref_=beagle&applicationId=AWSMPContessa )
Highlights
- Letters from the public administration, medical reports or bank notifications contain relevant information that reaches our hands on a daily basis, although their content is not always clear and easy to understand. Hence the need to promote the culture of clear communication: content that conveys relevant information in an easy, direct, transparent, simple and effective way so that the general public (average native Spanish speaker) can understand any type of information without difficulty.
- LUCES is designed for Spanish. LUCES is based on specific clear communication linguistic indexes. The indexes come from the state-of-the-art literature that researches the underlying mechanisms that contribute to text comprehension. Once the system is provided with a text, it evaluates it on the basis of length, lexicon and syntax indexes. For each index it provides a score indicating areas for improvement.
- Clear Communication Writing Assistant, Clear Communication Text Evaluation
Details
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $1.30/host/hour |
ml.m5.large Inference (Batch) | Model inference on the ml.m5.large instance type, batch mode | $0.80/host/hour |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $1.80/host/hour |
inference.count.m.i.c Inference Pricing | inference.count.m.i.c Inference Pricing | $0.05/request |
Vendor refund policy
No refund policy
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
We are excited to announce a new release of LUCES - clarity analyzer for Spanish, now in its 1.2 version. Additionally, the report generation function has been upgraded to enhance the quality of information visualization resources.
Additional details
Inputs
- Summary
LUCES configuration and data load is done through a JSON file. The file has three parameters.
-
function: it defines the type of analysis to perform. It may acquire three values. It determines the way texts are ingested.
- /analyze: it analyzes and calculates metrics for a single text. When /analyze is applied, use the parameter “text” to include the text to be analyzed.
- /compare: it analyzes and calculates metrics for a couple of texts. When /compare is applied, use the parameters “text1”and “text2” to include the texts to be analyzed.
- /global_stat: it analyzes and calculates metrics for a list of texts. When /global_stat is applied, use the parameter “texts” to include the list of texts to be analyzed.
-
mode: it may acquire two values.
- report: Generates a report in HTLM format.
- metrics: Generates sentence length, lexicon, and sentence complexity metrics for each input text.
-
- Limitations for input type
- Instance type Maximum Input JSON character length ml.m5.large 75K ml.m5.xlarge 150K ml.m5.2xlarge 235K
- Input MIME type
- application/json
https://github.com/iiconocimiento/iic-aws/blob/main/notebooks/languageUnderstandingAndClarityEvaluation/data/input/input.json
https://github.com/iiconocimiento/iic-aws/blob/main/notebooks/languageUnderstandingAndClarityEvaluation/data/input/input.json
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Ortus Lucee CFML engine (Windows 2019+Lucee)
Ortus Lucee CFML engine (Ubuntu Server 24.04 LTS) AMI (Amazon Machine Image)
Ortus Lucee CFML engine (Windows 2019+Lucee)
ERAS is a Spanish text analyzer that evaluates readability identifying areas for improvement in linguistic features.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.