This is version 1.4 of Hspell, the free Hebrew spellchecker and morphology engine. You can get Hspell from: http://hspell.ivrix.org.il/ Hspell was written by Nadav Har'El and Dan Kenigsberg: nyh @ math.technion.ac.il danken @ cs.technion.ac.il Hspell is free software, released under the GNU Affero General Public License (AGPL) version 3. Note that not only the programs in the distribution, but also the dictionary files and the generated word lists, are licensed under the AGPL. There is no warranty of any kind for the contents of this distribution. See the LICENSE file for more information and the exact license terms. The rest of this README file explains Hspell's spelling standard (niqqud-less), a bit about the technology behind Hspell, how to use the "hspell" program (but see the manual page for more current information), and lists a few future directions. See the separate INSTALL file for instructions on how to install Hspell. About Hspell's spelling standard -------------------------------- Hspell was designed to be 100% and strictly compliant with the official niqqud-less spelling rules ("Ha-ktiv Khasar Ha-niqqud", colloquially known as "Ktiv Male", or "plene spelling" in English), published by the Academy of the Hebrew Language. This is both an advantage and a disadvantage, depending on your viewpoint. It's an advantage because it encourages a *correct* and consistent spelling style throughout your writing. It is a disadvantage, because a few of the Academia's official spelling decisions are relatively unknown to the general public. Users of Hspell (and all Hebrew writers, for that matter) are encouraged to read the Academia's official niqqud-less spelling rules (which are printed at the end of most modern Hebrew dictionaries), and to refer to Hebrew dictionaries which use the niqqud-less spelling (such as Millon Ha-hove or Rav Milim). We also provide in docs/niqqudless.odt a document (in Hebrew) which describes in detail Hspell's spelling standard, and why certain words are spelled the way they are. The technology behind Hspell ---------------------------- The "hspell" program itself is mostly a simple (but efficient) program that checks input words against a long list of valid words. The real "brains" behind it are the word lists (lexicon) provided by the Hspell project. In order for it to be completely free of other people's copyright restrictions, the Hspell project is a clean-room implementation, not based on other companies' word lists, on other companies' spell checkers, or on copying of printed dictionaries. The word list is also not based on automatic scanning of available Hebrew documents (such as online newspapers), because there is no way to guarantee that such a list will be correct, complete, or consistent with regard to spelling rules. Instead, our idea was to write programs which know how to correctly inflect Hebrew nouns and conjugate Hebrew verbs. The inputs to these programs are lists of noun stems and of verb roots, plus hints needed for the correct inflection when these cannot be figured out automatically. These input files are obviously an important part of the Hspell project. The "word list generators" (written in Perl, and are also part of the Hspell project) then create the complete word-list for use by the spellchecking program, hspell. The generated lists are useful for much more than spellchecking, by the way - see more on that below ("the future"). Although we wrote all of Hspell's code ourselves, we are truly indebted to the old-style "open source" pioneers - people who wrote books about the knowledge they developed, instead of hiding it in proprietary software. For the correct noun inflections, Dr. Shaul Barkali's "The Complete Noun Book" has been a great help. Prof. Uzzi Ornan's booklet "Verb Conjugation in Flow Charts" has been instrumental in the implementation of verb conjugation, and Barkali's "The Complete Verb Book" was used too. During our work we have extensively used a number of Hebrew dictionaries, including Even Shoshan, Millon Ha-hove and Rav-Milim, to ensure the correctness of certain words. Various Hebrew newspapers and books, both printed and online, were used for inspiration and for finding words we still do not recognize. We wish to thank Cilla Tuviana and Dr. Zvi Har'El for their assistance with some grammatical questions. Using hspell ------------ After unpacking the distribution and running "configure", "make" and "make install" (see the INSTALL file for more information), the hspell executable is installed (by default) in /usr/local/bin, and the dictionary files are in /usr/local/share/hspell. The "hspell" program can be used on any sort of text file containing Hebrew and potentially non-Hebrew characters which it ignores. For example, it works well on Hebrew text files, TeX/LaTeX files, and HTML. Running hspell filename Will check the spelling in filename and will output the list of incorrect words (just like the old-fashioned UNIX "spell" program did). If run without a file parameter, hspell reads from its standard input. In the current release, hspell expects ISO-8859-8-encoded files. If files using a different encoding (e.g., UTF8) are to be checked, they must be converted first to ISO-8859-8 (e.g., see iconv(1), recode(1)). If the "-c" option is given, hspell will suggest corrections for misspelled words, whenever it can find such corrections. The correction mechanism in this release is especially good at finding corrections for incorrect niqqud-less spellings, with missing or extra 'immot-qri'a. The "-l" (verbose) option will explain for each correct word why it was recognized, if Hspell was built with the "linginfo" optional feature enabled (a morphological analysis is shown, i.e., fully describe all possible ways to read the given word as an inflected word with optional prefixes). Because hspell's output (naturally) is "logical-order", it is normally useful to pipe it to bidiv or rev before viewing. For example hspell -c filename | bidiv | less Another convenient alternative is to run hspell on a BiDi-enabled terminal. Instead of using the hspell program described above, users can also use Hspell's lexicon through one of the popular multi-lingual spell-checkers, aspell and hunspell. See the INSTALL file for more information on building these dictionaries. How *you* can help ------------------ By now, Hspell is fairly mature, and its lexicon of over 24,000 base words is fairly comprehensive, similar in breadth to some printed dictionaries. Careful attention has also been given to its accuracy, and its conformance with the spelling rules of the Academy of the Hebrew Language. Nevertheless, Hspell does not, and probably never will, cover all of modern Hebrew language. Also, undoubtedly, it may contain some errors as well. If you find such omissions or errors, please let us know. Before reporting such omissions or errors, please try to verify that the word you are proposing is indeed correctly spelled: Please refer to modern dictionaries. Please also look at doc/niqqudless.odt - the word you are proposing might actually be a known mispelling which we discuss in that document.
Hspell, the free Hebrew spellchecker and morphology engine.
Overview
一个可以可以统计群组用户发言,并且能将聊天内容生成词云的机器人
当前版本 v2.2 更新维护日志 更新维护日志 有问题请加群组反馈 Telegram 交流反馈群组 点击加入 演示 配置要求 内存:1G以上 安装方法 使用 Docker 安装 Docker官方安装
Utility for Text Normalisation or Inverse Normalisation
Text Processor Text Normalisation or Inverse Normalisation for Indonesian, e.g. measurements "123 kg" - "seratus dua puluh tiga kilogram" Currency/Mo
"Complexity" of Flags of the countries of the world
"Complexity" of Flags of the countries of the world Flags (png) from: https://flagcdn.com/w2560.zip https://flagpedia.net/download/images run: chmod +
Python character encoding detector
Chardet: The Universal Character Encoding Detector Detects ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) Big5, GB2312, EUC-TW, HZ-GB-2312, IS
基于Pytex的数学建模工具,实现将md文件转换成pdf/tex文档的前后端
Pytex-for-MCM 基于Pytex的数学建模工具,实现将md文件转换成pdf/tex文档的前后端。
An online markdown resume template project, based on pywebio
An online markdown resume template project, based on pywebio
🚩 A simple and clean python banner generator - Banners
🚩 A simple and clean python banner generator - Banners
Shows twitch pay for any streamer from Twitch leaked CSV files.
twitch_leak_csv_reader Shows twitch pay for any streamer from Twitch leaked CSV files. Requirements: You need python3 (you can install python 3 from o
A python tool one can extract the "hash" from a WINDOWS HELLO PIN
WINHELLO2hashcat About With this tool one can extract the "hash" from a WINDOWS HELLO PIN. This hash can be cracked with Hashcat, more precisely with
The project is investigating methods to extract human-marked data from document forms such as surveys and tests.
The project is investigating methods to extract human-marked data from document forms such as surveys and tests. They can read questions, multiple-choice exam papers, and grade.
BaseCrack is a tool written in Python that can decode all alphanumeric base encoding schemes.
BaseCrack Decoder For Base Encoding Schemes BaseCrack is a tool written in Python that can decode all alphanumeric base encoding schemes. This tool ca
RSS Reader application for the Emacs Application Framework.
EAF RSS Reader RSS Reader application for the Emacs Application Framework. Load application (add-to-list 'load-path "~/.emacs.d/site-lisp/eaf-rss-read
Meeting, rendezvous, confluence (Finnish kohtaaminen) mark up, down, and up again.
kohtaaminen Meeting, rendezvous, confluence (Finnish kohtaaminen) mark up, down, and up again. Given a zip file containing a tree of html and media fi
Map Reduce Wordcount in Python using gRPC
This project is implemented in Python using gRPC. The input files are given in .txt format and the word count operation is performed.
strbind - lapidary text converter for translate an text file to the C-style string
strbind strbind - lapidary text converter for translate an text file to the C-style string. My motivation is fast adding large text chunks to the C co
This repos is auto action which generating a wordcloud made by Twitter.
auto_tweet_wordcloud This repos is auto action which generating a wordcloud made by Twitter. Preconditions Install Python dependencies pip install -r
Find a Doc is a free online resource aimed at helping connect the foreign community in Japan with health services in their native language.
Find a Doc - Localization Find a Doc is a free online resource aimed at helping connect the foreign community in Japan with health services in their n
This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorithm to summarize documents and FastAPI for the framework.
Indonesian Text Summarization Using FastAPI This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorit
A working (ish) python script to convert text to a gradient.
verticle-horiontal-gradient-script A working (ish) python script to convert text to a gradient. This script is poorly made with the well known python
Open-source linguistic ethnography tool for framing public opinion in mediatized groups.
Open-source linguistic ethnography tool for framing public opinion in mediatized groups. Table of Contents Installing Quickstart Links Installing Pyth