16 Result(s)
-
Chapter and Conference Paper
MnTTS2: An Open-Source Multi-speaker Mongolian Text-to-Speech Synthesis Dataset
Text-to-Speech (TTS) synthesis for low-resource languages is an attractive research issue in academia and industry nowadays. Mongolian is the official language of the Inner Mongolia Autonomous Region and a rep...
-
Chapter and Conference Paper
On Verification of Smart Contracts via Model Checking
Combined with smart contracts, the application of blockchain techniques has grown faster and broader. However, it is very difficult to write secure and functionally correct smart contracts because of the openn...
-
Chapter and Conference Paper
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain
Mongolian question answer matching task is challenging, since Mongolian is a kind of low-resource language and its complex morphological structures lead to data sparsity. In this work, we propose an Interactiv...
-
Chapter and Conference Paper
MTNER: A Corpus for Mongolian Tourism Named Entity Recognition
Name Entity Recognition is the essential tool for machine translation. Traditional Named Entity Recognition focuses on the person, location and organization names. However, there is still a lack of data to ide...
-
Chapter and Conference Paper
Mongolian Questions Classification Based on Multi-Head Attention
Question classification is a crucial subtask in question answering system. Mongolian is a kind of few resource language. It lacks public labeled corpus. And the complex morphological structure of Mongolian voc...
-
Chapter and Conference Paper
An Attention-Based Approach for Mongolian News Named Entity Recognition
In the field of Natural Language Processing (NLP) of Mongolian, Named Entity Recognition (NER) has great significance. The traditional model is to use the Conditional Random Field (CRF) and Long-Short Term Mod...
-
Chapter and Conference Paper
Mongolian Grapheme to Phoneme Conversion by Using Hybrid Approach
Grapheme to phoneme (G2P) conversion is the assignment of converting word to its pronunciation. It has important applications in text-to-speech (TTS), speech recognition and sounds-like queries in textual data...
-
Chapter and Conference Paper
Mongolian Text-to-Speech System Based on Deep Neural Network
Recently, Deep Neural Network (DNN), which is a feed-forward artificial neural network with many hidden layers, has opened a new research direction for Speech Synthesis. It can represent high dimension and cor...
-
Chapter and Conference Paper
Research on Mongolian Speech Recognition Based on FSMN
Deep Neural Network (DNN) model has been achieved a significant result over the Mongolian speech recognition task, however, compared to Chinese, English or the others, there are still opportunities for further...
-
Chapter and Conference Paper
Language Model for Mongolian Polyphone Proofreading
Mongolian text proofreading is the particularly difficult task because of its unique polyphonic alphabet, morphological ambiguity and agglutinative feature, and coding errors are currently pervasive in the Mon...
-
Chapter and Conference Paper
A Novel Approach to Improve the Mongolian Language Model Using Intermediate Characters
In Mongolian language, there is a phenomenon that many words have the same presentation form but represent different words with different codes. Since typists usually input the words according to their represe...
-
Chapter and Conference Paper
Cyrillic Mongolian Named Entity Recognition with Rich Features
In this paper, we first create a Cyrillic Mongolian named entity manually annotated corpus. The annotation types contain person names, location names, organization names and other proper names. Then, we use Co...
-
Chapter and Conference Paper
Mongolian Inflection Suffix Processing in NLP: A Case Study
Inflection suffix is an important morphological characteristic of Mongolian words, since the suffixes express abundant syntactic and semantic meanings. In order to provide an informative introduction of it, th...
-
Chapter and Conference Paper
Mongolian Speech Recognition Based on Deep Neural Networks
Mongolian is an influential language. And better Mongolian Large Vocabulary Continuous Speech Recognition (LVCSR) systems are required. Recently, the research of speech recognition has achieved a big improveme...
-
Chapter and Conference Paper
Character Segmentation for Classical Mongolian Words in Historical Documents
There are many classical Mongolian historical documents which are reserved in image form, and as a result it is inconvenient for us to search and mining the desired content. In order to facilitate the word rec...
-
Chapter and Conference Paper
Language Model for Cyrillic Mongolian to Traditional Mongolian Conversion
Traditional Mongolian and Cyrillic Mongolian are both Mongolian languages that are respectively used in china and Mongolia. With similar oral pronunciation, their writing forms are totally different. A large p...
