libhum
apertium
libhum | apertium | |
---|---|---|
6 | 5 | |
13 | 85 | |
- | - | |
7.0 | 5.6 | |
10 days ago | 7 days ago | |
Python | C++ | |
GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
libhum
- Date audio/video recordings from background noises
- Date recordings from background noises – DateThis.app
- Libhum is a Python library to extract and compare electricity frequency signals
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Ask HN: Tell us about your project that's not done yet but you want feedback on
I'm writing a open-source library (https://github.com/RaphaelJ/libhum/) and a webapp (https://datethis.app:8080/) that detects the Utility Grid noise emitted by electrical devices (A/C, motors, appliances ...) from Video/Audio recording.
It then tries to date the recording by matching it to historical data.
The signal processing part is getting decent. I'm still trying to collect more reference signals in RU, UK, China and Japan.
Tom Scott made a video about the idea: https://www.youtube.com/watch?v=e0elNU0iOMY
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Zluda: Run CUDA code on Intel GPUs, unmodified
Related question, what is the best way to handle kernel compatibility for CUDA, OpenCL, etc ... ?
I had to write a cross-platform kernel a few weeks ago, and I ended using pre-processor guards to make it work with the OpenCL and CUDA compilers [1].
[1] https://github.com/RaphaelJ/libhum/blob/main/libhum/match.ke...
apertium
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Ask HN: Tell us about your project that's not done yet but you want feedback on
This is very cool, looking forward to it! I've been doing the same thing with Spanish Wikipedia articles for a while, using a few lines of Bash + Regex. I was using Apertium for it. https://apertium.org/ It's definitely worse than most ML-based solutions, but it works reliably and fast; you can run it entirely offline. With Spanish translations, the main problem I was facing is lack of vocabulary, so I created https://github.com/phil294/apertium-eng-spa-wiktionary which about doubles the amount of recognized words, albeit with wonky grammar.
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Show HN: Unlimited machine translation API for $200 / Month
I used to keep track of the state of machine translation some years back.
I think the way you measure the success of an automated translation is edit distance, i.e. how many manual edits you need to make to a translated text before you reach some acceptable state. I suppose it's somewhat subjective, but it is possible to construct a benchmark and allow for multiple correct results.
The best resources I knew back then were:
VISL's CG-3 self-reported a competitively low edit distance compared to Google Translate: https://visl.sdu.dk/constraint_grammar.html -- the abstraction unfortunately requires a rather deep knowledge of any one particular language's grammar. It is a convincing argument that in order to beat Google Translate, you want less fuzzy machine learning and more structural analysis. But you also need a PhD in computational linguistics and deep knowledge of each language.
Apertium has an open-source pipeline: https://apertium.org/ -- seems to be much more like an open-source approach with a quality similar to Google Translate (although I don't know if it's better or worse; probably slightly worse in most cases, and with a slightly lower coverage).
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Translating several languages into CV Creole
For context, I have been contributing CV Creole data to Unicode's CLDR and MediaWiki for a number of years now, but both are mostly manual work. I once considered setting up an Apertium language pair between CV Creole and Portuguese, given the grammatical similarities, but never got around to it.
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"Lingva" Google Translate but without the tracking
Lingva is awesome. Also don't forget to check out LibreTranslate and Apertium. They are open source. Apertium can even translate web pages (you need to enter the URL).
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How I installed Apertium on CentOS 7
#!/bin/bash set -x mkdir -p apertium-src && \ mkdir -p $MTDIR cd apertium-src && \ wget http://ftp.tsukuba.wide.ad.jp/software/gcc/releases/gcc-8.5.0/gcc-8.5.0.tar.gz -O - \ | gzip -dc \ | tar -xf - && \ cd gcc-8.5.0 && \ ./configure --prefix=$MTDIR --disable-multilib && \ make -j $(nproc) && \ make install && \ cd .. || exit 1 cd apertium-src && \ wget https://github.com/unicode-org/icu/releases/download/release-69-1/icu4c-69_1-src.tgz -O - \ | gzip -dc \ | tar -xf - \ && cd icu/source \ && CC=gcc CXX=g++ ./configure --prefix=$MTDIR \ && CC=gcc CXX=g++ make -j $(nproc) \ && CC=gcc CXX=g++ make install \ && cd ../.. \ || exit 1 cd apertium-src && \ svn checkout http://beta.visl.sdu.dk/svn/visl/tools/vislcg3/trunk vislcg3 && \ cd vislcg3 && ./get-boost.sh \ && ./cmake.sh -DCMAKE_INSTALL_PREFIX=$MTDIR \ -DICU_INCLUDE_DIR=$MTDIR/include \ -DICU_LIBRARY=$MTDIR/lib/libicuuc.so \ -DICU_IO_LIBRARY=$MTDIR/lib/libicuio.so \ -DICU_I18N_LIBRARY=$MTDIR/lib/libicui18n.so \ && make -j$(nproc) && \ make install && cd .. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/lttoolbox && \ cd lttoolbox && ./autogen.sh --prefix=$MTDIR && make -j $(nproc) && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium && \ cd apertium && ./autogen.sh --prefix=$MTDIR && make -j $(nproc) && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium-lex-tools && \ cd apertium-lex-tools && ./autogen.sh --prefix=$MTDIR && make -j $(nproc) && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium-tha && \ cd apertium-tha && ./autogen.sh --prefix=$MTDIR && make && make install && cd ../.. || exit 1 cd apertium-src && \ git clone https://github.com/apertium/apertium-tha-eng && \ cd apertium-tha-eng && ./autogen.sh --prefix=$MTDIR && make && make install && cd .. && \ cd .. || exit 1
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
lingva-translate - Alternative front-end for Google Translate
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
icu - The home of the ICU project source code.
obsidian-releases - Community plugins list, theme list, and releases of Obsidian.
LibreTranslate - Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
ZLUDA - CUDA on AMD GPUs
apertium-tha-eng - Apertium translation pair for Thai and English
ContainerSSH - ContainerSSH: Launch containers on demand
lttoolbox - Finite state compiler, processor and helper tools used by apertium
pls - `pls` is a prettier and powerful `ls(1)` for the pros.
feature-express