The summary of ‘The ULTIMATE Guide to SENTENCE MINING!’

00:00:00

In this part of the video, the speaker discusses sentence mining as a technique for learning new vocabulary in Japanese, which can also be applied to other languages. They explain that sentence mining involves creating flashcards by capturing sentences from immersive content and highlight a specific word within the sentence to focus on learning. The speaker uses Anki for this process and recommends checking previous videos in the series to understand Anki better.

The key elements of a sentence mining card include the sentence, the highlighted target word on the front, and the reading, definitions, and native audio on the back. They illustrate their method using the Migaku browser extension, which simplifies the process by automatically recording audio, taking screenshots, and creating Anki cards. The extension highlights words based on their learning status and provides various useful tools, such as pitch colorings and customizable card formats. The speaker appreciates how Migaku has made sentence mining more efficient and less tedious.

00:05:00

In this segment of the video, the speaker discusses the benefits of using a reference link for a subscription plan that offers an additional free month and supports the channel. They then explain their previous method of sentence mining before switching to Mikaku, which involved significant manual labor but proved viable, having created nearly 4,000 cards. The key tools are audio recording and word lookup, with ShareX recommended for capturing audio. The speaker demonstrates how to set up ShareX and integrate its features with Netflix subtitles using the Subadub extension, and suggests using word lookup extensions like Yomichan for efficiency.

They elaborate on the process of creating Anki cards from Netflix, including selecting sentences, copying text, and recording audio. The speaker notes the difficulty of syncing recordings without better tools and mentions compatibility issues with browser extensions. They also detail card creation for YouTube and local files, emphasize the importance of note types in Anki for categorizing data fields, and show how to create and manage these note types. Customizing fields in Anki makes future reformatting easier, and the speaker suggests adding multiple fields to accommodate cards with several target words.

00:10:00

In this part of the video, the speaker explains how to create and customize note types in Anki. After setting up the note type with necessary fields, they demonstrate how to configure the display of these fields on the front and back of cards using HTML, CSS, and JavaScript. The speaker provides links to pre-made templates to simplify this process.

They then discuss sentence mining from local files without using the Migaku add-on. For this, they recommend using the MPV player with the MPV-Auto-Select (mpvas) plugin, along with a clipboard autocopy feature to capture subtitles automatically. Additionally, they suggest using a browser extension to display captured subtitles on a blank webpage for easy word lookup. The speaker outlines steps to record audio from MPV and suggests tools like DeskPins to keep important windows on top.

Finally, they mention scripts available to automate the extraction of subtitles from an entire media file, creating a card for each subtitle.

00:15:00

In this segment, the speaker discusses the challenges and preferences related to sentence mining for language learning. They express a dislike for using automatic scripts and mass-exporting cards due to the manual filtering required and the potential for memory stagnation. The speaker prefers to create and review sentence cards daily, making them more personal and contextually relevant. They compare this to Migaku’s approach, which allows for mass-exporting without losing learning status, and discuss methods for sentence mining from YouTube videos, emphasizing the use of manually subtitled videos to avoid inaccuracies. The speaker also mentions their personal shift from a labor-intensive method to using Migaku, which has renewed their motivation for sentence mining. They conclude by advising viewers to find the method that works best for their individual learning goals and not to feel pressured to follow any specific approach.

00:20:00

In this segment, the speaker discusses the importance of focusing on common and popular words when learning a new language, specifically Japanese. They emphasize that it’s crucial to invest time in mining words that you will frequently encounter and use. The word “taberu,” meaning “to eat,” is presented as an example of a common and essential word to learn. The speaker suggests checking the frequency and commonality of words using resources like shisho.org, jlpt levels, and yomichen.

For less common words, such as “konrinsai,” the speaker shares a personal anecdote about mining the word despite its low frequency and lack of familiarity to natives, highlighting the value in learning its kanji components and unique context. The speaker further mentions that certain types of words, such as names, media-specific terms, and extremely obscure or field-specific vocabulary, might not be worth mining, as they can be learned through immersion.

Additionally, katakana words can be tricky due to their potentially different readings or meanings from English. The speaker explains their preference for mining common phrases and unique expressions that aid in understanding grammar and context within the language. The overall message is a strategic approach to vocabulary acquisition, focusing on practicality and frequent usage.

00:25:00

In this segment, the discussion revolves around strategies for sentence mining, particularly when learning a new language. The speaker emphasizes the flexibility in including multiple new words in a single sentence mining card, despite some criticisms. They highlight that personal comfort and effectiveness with the method matter more than sticking to a strict rule. The speaker suggests mining content that aligns with personal interests, noting that YouTube offers natural speech but can be challenging due to rapid speech, jump cuts, and lack of subtitles. They recommend starting with anime for its clear dialogue and available subtitles. Additionally, text-based content like novels is mentioned as another valuable resource. Finally, the speaker offers tips on finding content for immersion, suggesting Netflix for its subtitle options and jpdb.io for sorting content by difficulty. They acknowledge that finding enjoyable content on YouTube can take time but becomes a valuable resource as language skills improve.

00:30:00

In this part of the video, the speaker shares their best tip for finding enjoyable content on YouTube, which is to not overthink and simply search for any random word or topic that comes to mind. They provide an example of discovering a channel called the Nakamon by searching for “makiwari” (chopping wood in Japanese). The speaker advises searching for various interests like hobbies, games, activities, animals, and more, emphasizing it as a fun activity. They also mention using Google for further exploration. Additionally, the speaker discusses sentence mining for language learning, recommending starting with at least 1,000 words for a solid foundation, although they personally began after learning 6,000 words. They suggest integrating both pre-made and self-created sentence cards into learning routines. The video wraps up with an invitation to check out their affiliate link, join their Twitch streams for live Q&A, and stay tuned for the final part of the language learning series.