Automatic Comma Insertion for Japanese Text Generation

This paper proposes a method for automatically inserting commas into Japanese texts. In Japanese sentences, commas play an important role in explicitly separating the constituents, such as words and phrases, of a sentence. The method can be used as an elemental technology for natural language generation such as speech recognition and machine translation, or in writing-support tools for non-native speakers. We categorized the usages of commas and investigated the appearance tendency of each category. In this method, the positions where commas should be inserted are decided based on a machine learning approach. We conducted a comma insertion experiment using a text corpus and confirmed the effectiveness of our method.

• Type: Journal
• Year: 2010
• Where: EMNLP
• Authors: Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
• Keywords: Comma, EMNLP 2010, Japanese Sentences, Natural Language Generation, Natural Language Processing