Spell Checking for Chinese
نویسندگان
چکیده
This paper presents some novel results on Chinese spell checking. In this paper, a concise algorithm based on minimized-path segmentation is proposed to reduce the cost and suit the needs of current Chinese input systems. The proposed algorithm is actually derived from a simple assumption that spelling errors often make the number of segments larger. The experimental results are quite positive and implicitly verify the effectiveness of the proposed assumption. Finally, all approaches work together to output a result much better than the baseline with 12% performance improvement.
منابع مشابه
Integrating Dictionary and Web N-grams for Chinese Spell Checking
Chinese spell checking is an important component of many NLP applications, including word processors, search engines, and automatic essay rating. Nevertheless, compared to spell checkers for alphabetical languages (e.g., English or French), Chinese spell checkers are more difficult to develop because there are no word boundaries in the Chinese writing system and errors may be caused by various ...
متن کاملText Segmentation for Chinese Spell Checking
Chinese spell checking is different from its counterparts for Western languages because Chinese words in texts are not separated by spaces. Chinese spell checking in this article refers to how to identify the misuse of characters in text composition. In other words, it is error correction at the word level rather than at the character level. Before Chinese sentences are spell checked, the text ...
متن کاملGraph Model for Chinese Spell Checking
This paper describes our system in the Bake-Off 2013 task of SIGHAN 7. We illustrate that Chinese spell checking and correction can be efficiently tackled with by utilizing word segmenter. A graph model is used to represent the sentence and a single source shortest path (SSSP) algorithm is performed on the graph to correct spell errors. Our system achieves 4 first ranks out of 10 metrics on the...
متن کاملChinese Spell Checking Based on Noisy Channel Model
Chinese spell checking is an important component of many NLP applications, including word processors, search engines, and automatic essay rating. Compared to English, Chinese has no word boundaries and there are various Chinese input methods that cause different kinds of typos, so it is more difficult to develop spell checkers for Chinese. In this paper, we introduce a novel method for correcti...
متن کاملKhmer Spell Checker
Khmer is the official language of Cambodia. It is a complex language. Similar to Chinese, Japanese and Thai, Khmer words are written without spaces or other word delimiters. This is a major challenge in spell checking Khmer since there is no simple way to determine word boundaries. However, it is feasible to spell check Khmer. The process of spell checking Khmer is different from the spell chec...
متن کامل