Open Source Python Linguistics Software for Mac
Sort By:
Python Linguistics Software for Mac
View 381 business solutionsBrowse free open source Python Linguistics Software for Mac and projects below. Use the toggles on the left to filter open source Python Linguistics Software for Mac by OS, license, language, programming language, and project status.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Free and Open Source HR SoftwareGive your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
-
1
Mishkal: Arabic Text Vocalization
Arabic Text Vocalization system
Automatic system of vocalization of arabic text. -
2
Arramooz Alwaseet Open Arabic Dictionary for morphological analyze. To be useful for Arabic language processing. This dictionary is derived from the Ayaspell Arabic spell checker.
-
3
BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining. -
4
The Helsinki Finite-State Transducer toolkit is intended for processing natural language morphologies. The toolkit is demonstrated by wide-coverage implementations of a number of languages of varying morphological complexity.
-
Dragonfly | An In-Memory Data Store without LimitsDragonfly is a drop-in Redis replacement that is designed for heavy data workloads running on modern cloud hardware. Migrate in less than a day and experience up to 25X the performance on half the infrastructure.
-
5
Aelius Brazilian Portuguese POS-Tagger
Python, NLTK-based package for shallow parsing of Brazilian Portuguese
Aelius is an ongoing open source project aiming at developing a suite of Python, NLTK-based modules and interfaces to external freely available tools for shallow parsing of Brazilian Portuguese. It also includes language resources such as language models, sample texts, and gold standards. Presently, Aelius already offers facilities for POS-tagging and chunking corpora and outputting annotations in different formats, such as in XML in the TEI P5 encoding scheme. -
6
Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.
-
7
Donatus is an on-going project consisting of Python, NLTK-based tools and grammars for deep parsing and syntactical annotation of Brazilian Portuguese corpora. It includes a user-friendly graphical user interface for building syntactic parsers with the NLTK, providing some additional functionalities.
-
8
-
9
Sylli is a universal syllabifier. Developed for Italian, it can easily be adapted to any language that is claimed to respect the SSP. Sylli divides timit, strings, files and directories into syllables.
-
Build and execute better incentive plans with our simple, easy-to-use platform.incentX is a feature-rich, cloud-based platform that provides all the tools needed to plan, manage, and settle your incentives program—including commissions, rebates, royalties, bill-backs, and chargebacks. best of all, it integrates with your existing Accounting / ERPs for a seamless, end-to-end experience.
-
10
WordNetLMF converts WordNet (http://wordnet.princeton.edu/) lexicographer files into KYOTO-LMF, the LMF dialect used in the KYOTO project (http://www.kyoto-project.eu/).
-
11
- Previous
- You're on page 1
- Next
