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1. • • Lexical text similarity aims to identify how similar documents are on a word level. Many of the traditional techniques tend to focus on lexical text similarity and they are often much faster to implement than the new deep learning techniques that have slowly risen to stardom.
     towardsdatascience.com/a-glance-at-text-similarity-52e607bfe920

     A Glance at Text Similarity. How To Compute the Similarity ...

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   What is lexical text similarity?

   • Many of the traditional techniques tend to focus on lexical text similarity and they are often much faster to implement than the new deep learning techniques that have slowly risen to stardom. Essentially, we may define text similarity as attempting to determine how “close” 2 documents are in lexical similarity and semantic similarity.

   A Glance at Text Similarity. How To Compute the Similarity between

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   What is semantic text similarity?

   • Semantic text similarity refers to the measurement of how closely related or similar two pieces of text are in meaning, context, or semantics. Unlike lexical similarity that focuses on word matching or surface-level comparisons, semantic similarity aims to capture the actual meaning and context of the text.

   Exploring Contextual Text Similarity: A Dive into Machine ... - Medium

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   How is similarity examined in linguistics?

   • The similarity itself is not only examined from the lexical point of view which only considers the sequences of characters but also should take into account the semantic meaning. Two short texts might be composed of different words, but semantically would be similar.

   Short text similarity measurement methods: a review

   link.springer.com/article/10.1007/s00500-020-05479-2

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   How do you measure semantic text similarity?

   • Several methods are used to assess semantic text similarity: Word Embeddings: Techniques like Word2Vec, GloVe, and fastText create dense vector representations for words in a continuous space, capturing semantic relationships. Similar words are closer together in this space, allowing for measuring word similarity beyond lexical overlap.

   Exploring Contextual Text Similarity: A Dive into Machine ... - Medium

   medium.com/@swarup.t/exploring-contextual-text-similarity-a-dive-into-machine-learning-techniques-3d477c88bf20

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3. medium.com › @swarup › exploring-contextual-textExploring Contextual Text Similarity: A Dive into ... - Medium

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   Jan 5, 2024 · Lexical Similarity: provides a measure of the similarity of two texts based on the closeness of the word sets of same or different languages. Semantic Similarity: Semantic Similarity creates a...

4. en.wikipedia.org › wiki › Lexical_similarityLexical similarity - Wikipedia

   en.wikipedia.org › wiki › Lexical_similarity

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   In linguistics, lexical similarity is a measure of the degree to which the word sets of two given languages are similar. A lexical similarity of 1 (or 100%) would mean a total overlap between vocabularies, whereas 0 means there are no common words.

5. www.researchgate.net › publication › 313362937(PDF) Semantic Textual Similarity Methods, Tools, and ...

   www.researchgate.net › publication › 313362937

   Dec 1, 2016 · We split out the measures for semantic similarity into three broad categories such as (i) Topological/Knowledge-based (ii) Statistical/Corpus Based (iii) String based.

6. towardsdatascience.com › a-glance-at-textA Glance at Text Similarity. How To Compute the Similarity ...

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   Mar 22, 2021 · Lexical text similarity aims to identify how similar documents are on a word level. Many of the traditional techniques tend to focus on lexical text similarity and they are often much faster to implement than the new deep learning techniques that have slowly risen to stardom.

7. link.springer.com › article › 10Short text similarity measurement methods: a review | Soft ...

   link.springer.com › article › 10

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   Jan 3, 2021 · This paper reviews the research literature on short text similarity (STS) measurement method with the aim to (i) classify and give a broad overview of existing techniques; (ii) find out its strengths and weaknesses in terms of the domain the independence, language independence, requirement of semantic knowledge, corpus and training data, ability...

   • Author: Dimas Wibisono Prakoso, Asad Abdi, Chintan Amrit

   • Publish Year: 2021

8. megatext.appSemantic Text Comparison Tool - Free Semantic Similarity Check

   megatext.app

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   Our free online semantic text comparison tool allows you to compare two pieces of text to determine their semantic similarity score.

9. ukc.disi.unitn.it › index › lexsimA Similarity Database of Modern Lexicons – UKC – Universal ...

   ukc.disi.unitn.it › index › lexsim

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   What is lexical similarity? According to the definition by The Ethnologue, it is ‘the percentage of lexical similarity between two linguistic varieties is determined by comparing a set of standardized wordlists and counting those forms that show similarity in both form and meaning.’.