| DC 欄位 |
值 |
語言 |
| DC.contributor | 資訊工程學系 | zh_TW |
| DC.creator | 王騰輝 | zh_TW |
| DC.creator | Wang Tenghui | en_US |
| dc.date.accessioned | 2022-1-25T07:39:07Z | |
| dc.date.available | 2022-1-25T07:39:07Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=104522097 | |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 語碼轉換是一種常見的語言表達模式，即對話中出現兩種以上的語言交錯使用。中文和英語作為世界上的主流語言，中英混合的語言表達方式更是日常的對話交流中不可或缺的，然而不同的族群、環境、說話習慣都會影響語碼轉換的組成特性。
目前語音辨識研究中對此類語碼轉換文本的訓練語料依舊稀缺，因此本論文將利用類神經網路訓練出一個生成器生成語碼轉換文本，並作為kaldi toolkit語言模型的資料增強語料以達到改善中英混合辨識率的目的。
本論文使用的方法是基於SEAME語料庫中的中英文本，訓練 BERT-BiLSTM-CRF模型以得知語碼轉換位置，再將純中文文本應該被進行語碼轉化的位置翻譯成英文，藉此產生符合此語料庫特性的句子。 | zh_TW |
| dc.description.abstract | Code-switching is a common mode of language expression, that is, the interleaved use of more than two languages in a conversation. Chinese and English are the mainstream languages in the world, and Chinese-English mixed language expressions are indispensable in daily dialogue and communication. However, different ethnic groups, environments, and speaking habits will affect the composition of code-switching characteristics.
At present, the training corpus of such code-switched texts in speech recognition research is still scarce. Therefore, this paper will use a neural network to train a generator to generate code-switched texts, and use them as the training data of the kaldi toolkit language model .To achieve the purpose of better accuracy of Chinese-English.speech recognition.
The method used in this paper is based on the Chinese-English Code-switching corpus in the SEAME dataset. We training the BERT-BiLSTM-CRF model to know the Code-switching position, and then translate the Chinese words into English words, thereby generating Sentences that match the characteristics of this corpus. | en_US |
| DC.subject | 語碼轉換 | zh_TW |
| DC.subject | 語音辨識 | zh_TW |
| DC.subject | 基於變換器的雙向編碼器表示技術 | zh_TW |
| DC.subject | 自然語言處理 | zh_TW |
| DC.subject | Code-Switching | en_US |
| DC.subject | Speech Recognition | en_US |
| DC.subject | BERT | en_US |
| DC.subject | NLP | en_US |
| DC.title | 語碼轉換文本資料增強於中英混合語音辨識 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Code-Switching Data Augmentation For Chinese-English Speech Recognition | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |