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View article: DEEP NEURAL RANKING MODEL FOR MYANMAR NEWS RETRIEVAL
DEEP NEURAL RANKING MODEL FOR MYANMAR NEWS RETRIEVAL Open
In the contemporary era dominated by Information Technology (IT), enabling users to effortlessly locate and acquire knowledge on a myriad of topics according to their needs and interests.Searching for news and updates in many different lan…
View article: Emotion recognition from Burmese speech based on fused features and deep learning method
Emotion recognition from Burmese speech based on fused features and deep learning method Open
Burmese language is challenging for speech emotion classification. Moreover, it is lack of resource and few research was made in this topic. To solve the challenging problem, novel feature extraction for Burmese language is proposed. For l…
View article: Improving the Performance of Low-resourced Speaker Identification with Data Preprocessing
Improving the Performance of Low-resourced Speaker Identification with Data Preprocessing Open
Automatic speaker identification is done to tackle daily security problems. Speech data collection is an essential but very challenging task for under-resourced languages like Burmese. The speech quality is crucial to accurately recognize …
View article: A Large Vocabulary End-to-End Myanmar Automatic Speech Recognition
A Large Vocabulary End-to-End Myanmar Automatic Speech Recognition Open
In recent years, sequence-to-sequence technology has become popular in automatic speech recognition area. This model replaces the classic complex pipeline with a single neural network architecture. This paper proposes the use of transforme…
View article: EfficientNetB7 and Bi-LSTM with GloVe Vector Based Myanmar Image Captioning
EfficientNetB7 and Bi-LSTM with GloVe Vector Based Myanmar Image Captioning Open
Image Captioning (IC) is one of the most widely discussed topic in Artificial Intelligence.In this paper, Myanmar image caption is generated using EfficientNetB7 and Bidirectional Long Short-Term Memory (Bi-LSTM) with GloVe embedding and d…
View article: Overview of the 8th Workshop on Asian Translation
Overview of the 8th Workshop on Asian Translation Open
Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondřej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Sadao Kurohashi.…
View article: Overview of the 7th Workshop on Asian Translation.
Overview of the 7th Workshop on Asian Translation. Open
conference paper
View article: Dependency Head Annotation for Myanmar Dependency Treebank
Dependency Head Annotation for Myanmar Dependency Treebank Open
Complete manual annotation of dependency treebank needs resources like annotators and annotation tools and takes long time and has high possibility of inconsistent annotationsfor free word order languages such as Myanmar.This paper describ…
View article: Word Representations for Neural Network Based Myanmar Text-to-Speech System
Word Representations for Neural Network Based Myanmar Text-to-Speech System Open
The main objective of this paper is to improve the naturalness of Myanmar Text-to-Speech (TTS) system without using time-consuming and expensive annotation of training corpus.Recently, word embedding, which has the advantage of training di…
View article: A Burmese (Myanmar) Treebank
A Burmese (Myanmar) Treebank Open
A 20,000-sentence Burmese (Myanmar) treebank on news articles has been released under a CC BY-NC-SA license. Complete phrase structure annotation was developed for each sentence from the morphologically annotated data prepared in previous …
View article: Language resources for Myanmar NLP and speech processing
Language resources for Myanmar NLP and speech processing Open
Collection of slides from author's presentation is given. The following topics are dealt with: automatic speech recognition; building large pronunciation dictionary; enhancing naturalness of Myanmar speech synthesis with linguistic informa…
View article: UCSY-SC1: A Myanmar speech corpus for automatic speech recognition
UCSY-SC1: A Myanmar speech corpus for automatic speech recognition Open
This paper introduces a speech corpus which is developed for Myanmar Automatic Speech Recognition (ASR) research. Automatic Speech Recognition (ASR) research has been conducted by the researchers around the world to improve their language …
View article: Towards Burmese (Myanmar) Morphological Analysis
Towards Burmese (Myanmar) Morphological Analysis Open
This article presents a comprehensive study on two primary tasks in Burmese (Myanmar) morphological analysis: tokenization and part-of-speech (POS) tagging. Twenty thousand Burmese sentences of newswire are annotated with two-layer tokeniz…
View article: UCSYNLP-Lab Machine Translation Systems for WAT 2019
UCSYNLP-Lab Machine Translation Systems for WAT 2019 Open
This paper describes the UCSYNLP-Lab submission to WAT 2019 for Myanmar-English translation tasks in both direction. We have used the neural machine translation systems with attention model and utilized the UCSY-corpus and ALT corpus. In N…
View article: Overview of the 6th Workshop on Asian Translation
Overview of the 6th Workshop on Asian Translation Open
This paper presents the results of the shared tasks from the 6th workshop on Asian translation (WAT2019) including Ja↔En, Ja↔Zh scientific paper translation subtasks, Ja↔En, Ja↔Ko, Ja↔En patent translation subtasks, Hi↔En, My↔En, Km↔En, Ta…
View article: Dataset for Depression Detection from Speech Emotion Recognition
Dataset for Depression Detection from Speech Emotion Recognition Open
The recognition of internal emotional state of a person plays an important role in several hu man related fields.Emotions constitute an essential part of our existence as it exerts great influence on the physical and mental health of peopl…
View article: Improving Myanmar Automatic Speech Recognition with Optimization of Convolutional Neural Network Parameters
Improving Myanmar Automatic Speech Recognition with Optimization of Convolutional Neural Network Parameters Open
Researchers of many nations have developed automatic speech recognition (ASR) to show their national improvement in information and communication technology for their languages.This work intends to improve the ASR performance for Myanmar l…
View article: UCSYNLP-Lab Machine Translation Systems for WAT 2018.
UCSYNLP-Lab Machine Translation Systems for WAT 2018. Open
conference paper
View article: Burmese (Myanmar) Name Romanization: A Sub-syllabic Segmentation Scheme for Statistical Solutions
Burmese (Myanmar) Name Romanization: A Sub-syllabic Segmentation Scheme for Statistical Solutions Open
We focus on Burmese name Romanization, a critical task in the translation of Burmese into languages using Latin script. As Burmese is under researched and not well resourced, we collected and manually annotated 2, 335 Romanization instance…
View article: A Study of Statistical Machine Translation Methods for Under Resourced Languages
A Study of Statistical Machine Translation Methods for Under Resourced Languages Open
This paper contributes an empirical study of the application of five state-of-the-art machine translation to the trans- lation of low-resource languages. The methods studied were phrase-based, hierarchical phrase-based, the operational seq…