Bibliographic Information
- Other Title
-
- ニホンゴ ノ ミチゴ ニ タイスル ハツオン フヨ ノ タメ ノ タタイ タアライメント
- Many-to-many Alignment Algorithm for Automatic Pronunciation Annotation on Japanese Unknown Words
Search this article
Abstract
The need for robust pronunciation annotation on unknown words has been increasing with the development of an application that deals with proper nouns and brand-new words, such as Spoken Document Retrieval and Voice Search. In robust pronunciation annotation on unknown words, the alignment between graphemes and phonemes is vital data. In this paper, for the purpose of the improving pronunciation annotation on Japanese unknown words, we propose the alignment algorithm that requires a mapping with small unit having high expression ability on unknown words while avoiding degradation of the accuracy of a mapping between graphemes and phonemes. An evaluation experiment of a many-to-many alignment by automatic pronunciation annotation using Web text mining is also performed. That experimental result shows that the proposed many-to-many alignment obtains 3.9 point improvement on recall rate that represents the generalization ability for unknown words while avoiding degradation of the accuracy of the pronunciation annotation compared with the conventional approach.
Journal
-
- 情報処理学会論文誌
-
情報処理学会論文誌 54 (2), 452-462, 2013-02-15
東京 : 情報処理学会
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1050014359399965568
-
- NII Article ID
- 120005716842
- 110009537040
-
- NII Book ID
- AN00116647
-
- ISSN
- 03875806
- 18827764
- 18827837
-
- HANDLE
- 10061/9200
-
- NDL BIB ID
- 024284239
-
- Text Lang
- ja
-
- Article Type
- journal article
-
- Data Source
-
- IRDB
- NDL
- CiNii Articles
- KAKEN