AI の活用領域の一つである自然言語処理が利用されている事例として, 適切なものだけを全て挙げたものはどれか。 a Web サイト上で, 日本語の文章を入力すると即座に他言語に翻訳される。 b 災害時に SNS に投稿された文字情報をリアルタイムで収集し, 地名と災害情報などを解析して被災状況を把握する。 c スマートスピーカーを利用して, 音声によって家電の操作や音楽の再生を行う。 d 駐車場の出入口に設置したカメラでナンバープレートを撮影して, 文字認識処理をし, 精算済みの車両がゲートに近付くと自動で開く。
令和5年度 ITパスポート試験 問14
This question's explanation and your answers so far.
問 14
- ア
正解 The correct answer is “ア (a, b, c).” Natural language processing (NLP) is the technology by which a computer analyzes, understands, and generates the language people use in everyday life (written text, and words transcribed from speech). Case a machine-translates Japanese text into another language, a typical example of NLP. Case b extracts and analyzes place names and disaster information from SNS text to grasp the situation, which is also NLP that processes text semantically. Case c is a smart speaker that transcribes speech into words and interprets the meaning of the instruction to operate home appliances or play music, an NLP case that involves understanding the meaning of language. Case d, on the other hand, is “character recognition (OCR)” that reads the characters on a license plate photographed by a camera; it belongs to the field of image and pattern recognition and does not involve semantic understanding of language, so it is not NLP. Therefore, the option that lists exactly the NLP cases, no more and no less, is a, b, c, namely “ア.”
Incorrectイ
Cases a and b are correct, but this includes d. Case d is license-plate character recognition (OCR / image recognition), not natural language processing that analyzes the meaning of language, so it is inappropriate.
Incorrectウ
Cases a and c are correct, but this wrongly includes d (character recognition by image recognition) and omits b (analysis of SNS text), which is an NLP case, so it is inappropriate.
Incorrectエ
Cases b and c are correct, but this includes d (character recognition, which is not NLP) and omits a (machine translation), which is an NLP case, so it is inappropriate.
- Natural language processing (NLP) is the technology that analyzes, understands, and generates human language (written text and words transcribed from speech). Machine translation, text analysis, and voice-based dialogue and operation are all application examples of NLP.
- Character recognition (OCR) of license plates or scanned documents is image recognition and pattern recognition; it should be distinguished from natural language processing, which understands the meaning of language.