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Mar 26, 2023 · In this article, we will discuss various machine learning techniques that can be used for sentence matching.
May 30, 2024 · I have a function that detects and remove a few filler words that people often use while speaking. I want to use this data to fine tune an LLM.
May 23, 2017 · I am a newbie trying my hands on sentence segmentation in NLP. I am aware tokenizers are available for the same in NLTK. But I wanted to build my own sentence ...
Jun 27, 2023 · Sentiment analysis uses measures, analyzes, and scores human language to better understand the individual's opinions and feelings about a topic.
Quill is Open Sourcing NLP Tools To Aid Student Writing
www.quill.org › teacher-center › quill-is-...
Oct 2, 2024 · Quill is now building a machine learning powered fragment detection algorithm to detect and remediate fragment errors.
Nov 23, 2017 · This blog has the solution for short text similarity. They mainly use the BERT neural network model to find similarities between sentences.
Oct 1, 2006 · We have constructed a hidden Markov model (HMM) system to detect sentence boundaries that uses both prosodic and textual information.
Based on machine learning, this paper designs a new method for detecting grammatical errors in English composition.
Sentence correction using Deep learning techniques - Medium
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Sep 11, 2021 · Sentence correction using Deep learning techniques using encoder decoder with attention layer to achieve best correction.
Missing: Detection. | Show results with:Detection.
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Machine Learning (ML) for Natural Language Processing (NLP)
www.lexalytics.com › blog › machine-le...
This article explains how machine learning can solve problems in natural language processing and text analytics and why a hybrid ML-NLP approach is best.