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What is TILDE?

TILDE (Term Independent Likelihood moDEl) functions as a framework designed for the re-ranking and expansion of passages, leveraging BERT to enhance retrieval performance by combining sparse term matching with sophisticated contextual representations. The original TILDE version computes term weights across the entire BERT vocabulary, which often leads to extremely large index sizes. To address this limitation, TILDEv2 introduces a more efficient approach by calculating term weights exclusively for words present in the expanded passages, resulting in indexes that can be 99% smaller than those produced by the initial TILDE model. This improved efficiency is achieved by deploying TILDE as a passage expansion model, which enriches passages with top-k terms (for instance, the top 200) to improve their content quality. Furthermore, it provides scripts that streamline the processes of indexing collections, re-ranking BM25 results, and training models using datasets such as MS MARCO, thus offering a well-rounded toolkit for enhancing information retrieval tasks. In essence, TILDEv2 signifies a major leap forward in the management and optimization of passage retrieval systems, contributing to more effective and efficient information access strategies. This progression not only benefits researchers but also has implications for practical applications in various domains.

What is Fluency Tutor?

Resources like text-to-speech, dictionaries, and translation tools play a critical role in aiding readers who encounter difficulties, enhancing both their understanding and confidence in their reading abilities. By integrating these tools, teachers can share reading assignments with students and receive audio recordings of those texts, facilitating a two-way learning process. This method not only promotes ongoing reading, whether in educational settings or at home, but also reduces the likelihood of academic decline. Instructors can easily distribute reading materials to individual learners or the entire class using platforms like Google Drive or Google Classroom. Additionally, the provision of text-to-speech options, dictionaries, visual dictionaries, and translation aids further supports students in their learning journey. With the capability to record their reading tasks at their own pace, students are positioned to receive tailored feedback from their educators. The intuitive dashboard also contributes to a more enjoyable experience for both teachers and students, fostering a dynamic educational atmosphere. Ultimately, these features create a holistic support network that can greatly enhance reading skills and boost self-esteem in learners while encouraging collaborative engagement among peers.

Media

Media

Integrations Supported

Google Classroom
Google Drive
Hugging Face
Python
Texthelp

Integrations Supported

Google Classroom
Google Drive
Hugging Face
Python
Texthelp

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ielab

Company Location

United States

Company Website

github.com/ielab/TILDE/tree/main

Company Facts

Organization Name

Texthelp

Date Founded

1996

Company Location

United Kingdom

Company Website

texthelp.com/products/fluency-tutor/

Categories and Features

Categories and Features

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