Vietnamese Text Accent Restoration with Statistical Machine Translation
19249Authors
nan
Abstract
Vietnamese accentless texts exist on paral- lel with official vietnamese documents and play an important role in instant message, mobile SMS and online searching. Under- standing correctly these texts is not sim- ple because of the lexical ambiguity caused by the diversity in adding diacritics to a given accentless sequence. There have been some methods for solving the vietnamese accentless texts problem known as accent prediction and they have obtained promis- ing results. Those methods are usually based on distance matching, n-gram, dictionary of words and phrases and heuristic techniques. In this paper, we propose a new method solving the accent prediction. Our method combine the strength of previous methods (combining n-gram method and phrase dic- tionary in general). This method considers the accent predicting as statistical machine translation (SMT) problem with source lan- guage as accentless texts and target language as accent texts, respectively. We also im- prove quality of accent predicting by apply- ing some techniques such as adding dictio- nary, changing order of language model and tuning. The achieved result and the ability to enhance proposed system are obviously promising. 1
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Vietnamese Text Accent Restoration With Statistical Machine Translation Luan-Nghia Pham Department of Information Technology Haiphong University Haiphong,Vietnam nghialuan@gmail.com Viet-Hong Tran University of Economic And Technical Industries Hanoi,Vietnam thviet@uneti.edu.vn Vinh-Van Nguyen University of Engineering and Technology Vietnam National University Hanoi,Vietnam vinhnv@vnu.edu.vn Abstract Vietnamese accentless texts exist on paral- lel with official vietnamese documents and play an important role in instant message, mobile SMS and online searching. Under- standing correctly these texts is not sim- ple because of the lexical ambiguity caused by the diversity in adding diacritics to a given accentless sequence. There have been some methods for solving the vietnamese accentless texts problem known as accent prediction and they have obtained promis- ing results. Those methods are usually based on distance matching, n-gram, dictionary of words and phrases and heuristic techniques. In this paper, we propose a new method solving the accent prediction. Our method combine the strength of previous methods (combining n-gram method and phrase dic- tionary in general). This method considers the accent predicting as statistical machine translation (SMT) problem with source lan- guage as accentless texts and target language as accent texts, respectively. We also im- prove quality of accent predicting by apply- ing some techniques such as adding dictio- nary, changing order of language model and tuning. The achieved result and the ability to enhance proposed system are obviously promising. 1 Introduction Accent predicting problem refers to the situation where accents are removed (e.g. by some email preprocessing systems), cannot be entered (e.g. by standard English keyboards), or not explicitly rep- resented in the text (e.g. in Arabic). We resolve the languages using Roman characters in writ- ing together with additional accent and diacriti- cal marks. These languages include European lan- guages such as Spanish and French and Asian lan- guages such as Chinese Pinyin and Vietnamese. Vietnamese accentless texts coexist with official Vietnamese texts and it is relatively common texts on the internet. Official Vietnamese language is a complex language with many accent (including acute, grave, hook, tilder, and dot-below) and Lat- inh alphabets. These are two inseparable compo- nents in Vietnamese. However, many Vietnamese choose to use accentless Vietnamese because it is easier and quickly to type. For example, a official Vietnamese sentence: chúng tôi sẽ bay tới Hà Nội vào chủ nhật (’We will fly to Hanoi on Sunday’) will be written as an Vietnamese accentless sen- tence as chung toi se bay toi Ha Noi vao chu nhat. Decoding such a sentence could be quite hard for both human and machine because of lexical ambi- guity. For instance, the accentless term "toi" can easily lead to confusion between the original Viet- namese "tôi" (‘we’) and the plausible alternative "tới" (‘to’). Nowadays, the application of information tech- nology to exchanging information is more and more popular. We daily receive many of emails, SMS but the majority of them are without ac- cents which may cause troubles for interpreting the meaning. Therefore, automatic accent restoration of accentless Vietnamese texts have many of ap- plications …
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Labeled Text
Vietnamese accentless texts exist on parallel with official vietnamese documents and play an important role in instant message, mobile SMS and online searching. Understanding correctly these texts is not simple because of the lexical ambiguity caused by the diversity in adding diacritics to a given accentless sequence. There have been some methods for solving the vietnamese accentless texts problem known as accent prediction and they have obtained promising results. Those methods are usually based on distance matching, n-gram, dictionary of words and phrases and heuristic techniques. In this paper, we propose a new method solving the accent prediction. Our method combine the strength of previous methods (combining n-gram method and phrase dictionary in general). This method considers the accent predicting as statistical machine translation (SMT) problem with source language as accentless texts and target language as accent texts, respectively. We also improve quality of accent predicting by applying some techniques such as adding dictionary, changing order of language model and tuning. The achieved result and the ability to enhance proposed system are obviously promising. 1
Publication Details
- Paper ID:
- 19249
- Year:
- 2013
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan