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JamSpell Alternatives
Similar projects and alternatives to JamSpell
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SymSpell
SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
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SymSpell
A JavaScript implementation of the Symmetric Delete spelling correction algorithm. (by IceCreamYou)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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mini_phone
A fast phone number parser, validator and formatter for Ruby. This gem binds to Google's C++ libphonenumber for spec-compliance and performance.
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liquid-cpp
A C++ liquid parser/renderer, with an eye on embeddability, performance, extensibility, sandboxability, and multi-language interop.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better JamSpell alternative or higher similarity.
JamSpell reviews and mentions
Posts with mentions or reviews of JamSpell.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-22.
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Rebuilding the spellchecker, pt.4: Introduction to suggest algorithm
There is, for example, a curious evaluation table provided by a modern ML-based spellchecker JamSpell. According to it, JamSpell is awesome—while Hunspell is a mere 0.03% better than dummy ("fix nothing") spellchecker... Which doesn't ring true, somehow!
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Rebuilding the spellchecker, pt.3: Lookup–compounds and solutions
That's a huge topic, which I am planning to cover towards the end of the article series please like and subscribe, but in short: yes, my opinion is that spellchecking is actually a "machine learning problem in disguise", and most of existing dictionaries are more a roundabout way of storing something-not-unlike-models than analytical data.
But ML approach will raise a question of data availability. What good your "deep learning OSS spellchecker" will do if there aren't good (and open) models for it which cover as much languages as existing Hunspell dictionaries do? And what if adding a bunch of new words requires laborous model retraining? It is not unsolvable, but non-trivial.
I believe all the giants have something like this inside (I don't think spelling correction in Google search bar is handled with Hunspell, right?), but it is much harder to do as an open tool, ready to embedding into other software.
There are a notable attempts, though: JamSpell for one (https://github.com/bakwc/JamSpell), which has an open "free" models, and more precise commercial ones; source code is open (maybe also only for using "simplistic" models, haven't dug deeper).
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Rebuilding the most popular spellchecker. Part 1
Obviously, there are open-source spellcheckers other than Hunspell. GNU aspell (that at one point was superseded by Hunspell, but still holds its ground in English suggestion quality), to name one of the older ones; but also there are novel approaches, like SymSpell, claiming to be "1 million times faster" or ML-based JamSpell, claiming to be much more accurate.
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Stats
Basic JamSpell repo stats
3
591
2.4
7 months ago
bakwc/JamSpell is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of JamSpell is C++.
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