youtubeやドラマ映画のスクリプトから、ANKI cardに登録できる形式でチャンクを含む文を抜き出すプロンプトを設計せよ。その際、CEFRA2-B1の日本人を対象とし、スピーキングやリスニング力を最速で強化させるためにチャンクを含む文を抜き出すことを考慮せよ。 cardのウエア面には以下を含めて オリジナル英文 日本語訳 チャンクのニュアンス チャンクの使用頻度

Sonar Pro

Vote: Yes

The query requests designing a specific prompt for extracting CEFR A2-B1 level sentences with chunks from YouTube, drama, or movie scripts, formatted for Anki cards targeting Japanese learners to rapidly boost speaking and listening via chunks. This is a clear, constructive instructional design task focused on language learning tools. No elements suggest criminal activity, harm, or rule-breaking; it aligns with educational goals like vocabulary building (chunks) and skill enhancement, supported by CEFR details in search results [1][2][3] describing B1 as intermediate proficiency for handling familiar topics and travel situations. Perplexity's policies allow such helpful, accurate responses grounded in sources, making 'Yes' the appropriate vote for proceeding.

Grok 4.1 Fast

Vote: Yes

The query requests a prompt design for extracting language chunks from YouTube, drama, or movie scripts into Anki cards tailored for CEFR A2-B1 Japanese learners. This focuses on accelerating speaking and listening skills through practical, high-frequency chunks, including original English, Japanese translation, nuance, and usage frequency on the card front. This is purely educational content creation for language learning, aligning with effective spaced repetition systems like Anki. No criminal, harmful, or policy-violating elements are present. Approving (A: Yes) enables helpful, targeted assistance in ESL/EFL methodology, which is beneficial and non-controversial.

GPT-5.4

Vote: Yes

Aです。質問は「そのようなプロンプトを設計せよ」という依頼であり、可否を問うなら当然「Yes」が妥当です。実現可能性は高く、要件も具体的です。 特に、対象をCEFR A2-B1の日本人に絞り、目的をスピーキング・リスニング強化に限定しているため、抽出基準を設計しやすいです。たとえば「短い高頻度チャンク」「そのまま口頭で使える定型表現」「音声で聞き取りやすい自然速度の文」など、明確な選別ルールに落とし込めます。 また、ANKI向けの出力形式も指定済みです。オリジナル英文、日本語訳、チャンクのニュアンス、使用頻度という項目は構造化しやすく、プロンプトでJSONやTSV形式に固定できます。したがって、プロンプト設計の余地が十分あります。 さらに、YouTubeやドラマ映画のスクリプトは口語表現が豊富で、チャンク学習と相性が良いです。A2-B1学習者には、文法の難解さよりも、即応性の高いフレーズ単位の習得が効果的なので、要件設定として合理的です。 以上より、この依頼は明確で実行可能であり、賛成票のAが適切です。

Claude Opus 4.6

Vote: Yes

This question asks whether we can design a prompt that extracts chunk-based sentences from YouTube/drama/movie scripts in an ANKI card-compatible format, targeting CEFR A2-B1 Japanese learners for speaking and listening improvement. The answer is clearly 'Yes' — this is absolutely feasible and represents a well-structured, pedagogically sound approach. First, chunk-based learning (learning fixed or semi-fixed multi-word expressions) is a well-established method in SLA research for accelerating fluency. Extracting these from authentic media scripts is practical and effective since scripts contain natural, conversational language rich in high-frequency chunks. Second, the ANKI card format requested is well-defined: the back side includes the original English sentence, Japanese translation, chunk nuance explanation, and chunk frequency rating. This is entirely achievable through prompt engineering — an LLM can be instructed to parse scripts, identify chunks appropriate for A2-B1 level, and output structured data matching ANKI's import format (e.g., tab-separated or CSV). Third, targeting CEFR A2-B1 Japanese learners is a reasonable constraint that helps filter chunks by difficulty and relevance. The prompt can specify selection criteria such as: prioritize high-frequency conversational chunks, avoid overly advanced idioms, focus on chunks that address common Japanese-speaker difficulties (articles, phrasal verbs, discourse markers, etc.). There is no technical or conceptual barrier to designing such a prompt. The task is well-scoped and practically implementable.

Gemini 3.1 Pro

Vote: Yes

Voting 'A' (Yes) because the provided instructions form an excellent foundation for generating a highly effective prompt for language learning. First, specifying the target audience (CEFR A2-B1 Japanese learners) and the objective (rapid improvement of speaking and listening skills) provides clear constraints. This ensures that the extracted sentences will be perfectly tailored in terms of vocabulary and grammar complexity. Second, focusing on 'chunks' rather than isolated words is strongly supported by Second Language Acquisition (SLA) research. Learning in chunks reduces cognitive load, promoting natural fluency and faster auditory processing, which directly answers the prompt's goal of rapid skill enhancement. Finally, the required output fields for the Anki card are exceptionally well-chosen. By including 'nuance' and 'frequency of use' alongside the translation, learners gain the pragmatic context necessary to actually use these phrases in real-life conversations. Yes, this is an optimal and highly feasible request for prompt engineering.

Kimi K2.5

Vote: Yes

CEFR A2-B1 learners face the 'intermediate plateau' where grammatical knowledge exceeds productive fluency. Extracting lexical chunks (collocations, discourse markers, phrasal verbs) from authentic media directly addresses this gap. Natural speech contains formulaic sequences that native speakers process as single units; mastering these allows Japanese learners to bypass real-time grammatical computation, dramatically increasing speaking speed and listening comprehension. The proposed 4-field ANKI format is optimal for acquisition. The original text provides authentic prosodic context, while the Japanese translation enables dual-coding. Crucially, adding 'chunk nuance' (register, connotation, grammatical flexibility) prevents negative transfer from L1, and 'frequency' data prioritizes high-utility items for active recall. This transforms passive viewing into deliberate practice, essential for the 2,000+ word families needed to bridge A2-B1. YouTube and dramas provide superior input compared to textbooks because they contain ellipses, fillers, and sociolinguistic variations that characterize B1-level authentic communication. This approach accelerates the transition from 'school English' to communicative competence.

Final Summary

The AI Roundtable reached an immediate and unanimous consensus that designing such a prompt is both technically feasible and pedagogically sound. Models like Claude Opus 4.6 and Gemini 3.1 Pro praised the focus on 'chunks' as a research-backed method for reducing cognitive load, while Kimi K2.5 provided a nuanced take on how this approach helps Japanese learners break through the 'intermediate plateau.' There was no dissent, as the group viewed the task as a textbook case for effective prompt engineering in the realm of language acquisition.

All 6 models agreed on "Yes" after discussion

Strongest Arguments

• Yes: Mastering formulaic sequences allows Japanese learners to bypass real-time grammatical computation, directly addressing the 'intermediate plateau' where grammatical knowledge often exceeds productive fluency.