Software Alternatives & Reviews

Apertium VS JWPce

Compare Apertium VS JWPce and see what are their differences

Apertium logo Apertium

To see the whole list of general documentation pages written in English, see documentation in English. Pour ceux qui sont plus à l'aise avec la langue française, une partie des pages anglaises a été traduite.

JWPce logo JWPce

JWPce is a free Japanese <--> English dictionary and word processor created by Glenn...
  • Apertium Landing page
    Landing page //
    2023-06-27
  • JWPce Landing page
    Landing page //
    2019-06-09

Apertium videos

Ubuntu&#39;ya Apertium Kurulumu

JWPce videos

JWPce Software

More videos:

  • Review - Japanese Word Processor (JWPce) Screen Overview
  • Review - Japanese Word Processor (JWPce) SKIP Lookup Tool 2

Category Popularity

0-100% (relative to Apertium and JWPce)
Translation Service
100 100%
0% 0
Translation Management
11 11%
89% 89
Languages
100 100%
0% 0
Spaced Repetition
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apertium seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apertium mentions (3)

  • 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 - Source: Hacker News / 9 months ago
  • 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... - Source: Hacker News / almost 2 years ago
  • Google Summer of Code 2021 Mentoring Orgs announced!
    Apertium is one of them. We make open-source rule-based machine translation systems, and our core tools are in C++. A few of our proposed ideas involve modifying those C++ tools with new features or improvements to existing features. Source: about 3 years ago

JWPce mentions (0)

We have not tracked any mentions of JWPce yet. Tracking of JWPce recommendations started around Mar 2021.

What are some alternatives?

When comparing Apertium and JWPce, you can also consider the following products

Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.

zkanji - zkanji is a free and open-source study tool and dictionary of the Japanese language.

Microsoft Translator - Microsoft Translator is your door to a wider world.

Jisho - Powerful and easy-to-use online Japanese-English dictionary with words, kanji and example...

DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.

RomajiDesu - RomajiDesu is a free online bi-directional Japanese-English dictionary, Kanji dictionary, Sentence analyzer and Japanese to Romaji/English translator, and Romaji to Hiragana/Katakana Converters for Japanese learners.