parser4k
lingua
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
parser4k
We haven't tracked posts mentioning parser4k yet.
Tracking mentions began in Dec 2020.
lingua
- Announcing Lingua 1.2.0 - The most accurate natural language detection library for the JVM, suitable for long and short text alike
-
r/argentina es el subreddit de habla hispana mas popular del sitio
select 'r/'||subreddit sub , initcap(lang) language , count(*) c , ratio_to_report(c) over(partition by sub) ratio , sum(iff(language!='English', c, 0)) over(partition by sub) total_not_english , sum(c) over(partition by sub) total from reddit_sample_languages_udtf group by 1, 2 qualify ratio > .02 order by total_not_english desc, c desc, 1, ratio desc- Jason Baumgartner for collecting and sharing Reddit’s comments. - Peter M. Stahl for the Lingua project to detect languages in Java. - Snowflake for making it easy to run Java code in a UDF.
-
The most popular languages on Reddit, after analyzing 1M comments: English, German, Spanish, Portuguese, French, Italian, Romanian, Dutch... [OC]
I don't speak most of these languages, so I wasn't able to verify -- instead I just used the results of this library: https://github.com/pemistahl/lingua
-
Hazelcast + Kibana: best buddies for exploring and visualizing data
A linguist can infer the language of the field. It's also possible to use an automated process in the pipeline. A couple of NLP libraries are available in the JVM ecosystem, but I set my eyes on Lingua, one focused on language recognition.
- Usando a Biblioteca Lingua para Kotlin
- Language Detection - Pre Trained Models
- Lingua 1.1.0 released - The most accurate natural language detection library for the JVM
-
Free and easy to use Java language detection library
I've used this one previously, and found it pretty easy to use, relatively fast, and accurate: https://github.com/pemistahl/lingua
What are some alternatives?
tinylog - tinylog is a lightweight logging framework for Java, Kotlin, Scala, and Android
language-detection-cld2 - Natural language detection, Java bindings for CLD2
kovenant - Kovenant. Promises for Kotlin.
Beagle - Beagle helps you identify keywords, phrases, regexes, and complex search queries of interest in streams of text documents.
solr-undertow - Solr / SolrCloud running in high performance server - tiny, fast startup, simple to configure, easy deployment without an application server.
kotlin-logging - Lightweight Multiplatform logging framework for Kotlin. A convenient and performant logging facade.
CakeParse - Simple parser combinator library for Kotlin
cld3-kotlin - Bindings to Google's Compact Language Detector 3 to JVM Based Languages
Humanizer.jvm
khronos - An intuitive Date extensions in Kotlin.
KtUnits - Simple unit conversion library for Kotlin