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AbstractThis paper presents our study of exploiting morpho-syntactic information for phrase-based statistical machine translation (SMT). For morphological transformation, we use hand-crafted transformational rules. For syntactic transformation, we propose a transformational …...
Comparison between two models of language for the automatic phonetic labeling of an undocumented language of the South-Asia: the case of Mo Piu
AbstractThis paper aims at assessing the automatic labeling of an undocumented, unknown, unwritten and under-resourced language (Mo Piu) of the North Vietnam, by an expert phonetician. In the previous stage …...
Unification of Numeral Classifiers and Plural Markers: Empirical Facts and Implications
The use of an obligatory numeral classifier (C) on N in general does not co-occur with mandatory plural marking (PM) (Greenberg 1990[1972], Sanches and Slobin 1973). Borer (2005) and Her …...
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling
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TDP – A Hybrid Diacritic Restoration with Transformer Decoder
Diacritic restoration plays an important role in Natural Language Processing (NLP) for many diacritical languages such as Vietnamese, Czech, Hungarian, etc. With the develop- ment of deep neural network, this …...
Island effects in Vietnamese relativization: A formal judgment study
This paper examines island effects in Viet- namese relativization using methods in exper- imental syntax developed by Sprouse (2007). Typologically a wh-in-situ language, it is debatable whether Vietnamese employs wh- …...
Revisiting Tri-training of Dependency Parsers
AbstractWe compare two orthogonal semi-supervised learning techniques, namely tri-training and pretrained word embeddings, in the task of dependency parsing. We explore language-specific FastText and ELMo embeddings and multilingual BERT embeddings. …...
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
AbstractWe introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators …...
Using Convolution Neural Network with BERT for Stance Detection in Vietnamese
AbstractStance detection is the task of automatically eliciting stance information towards a specific claim made by a primary author. While most studies have been done for high-resource languages, this work …...