ACM Transactions on Asian and Low-Resource Language Information Processing

External keywords are crucial for response generation models to address the generic response problems in open-domain conversational systems. The occurrence of keywords in a response depends heavily on the order of the keywords as they are generated ...

An important aspect of developing dialogue agents involves endowing a conversation system with emotion perception and interaction. Most existing emotion dialogue models lack the adaptability and extensibility of different scenes because of their ...

Word embeddings, which map words into a unified vector space, capture rich semantic information. From a linguistic point of view, words have two carriers, speech and writing. Yet the most recent word embedding models focus on only the writing carrier ...

There is no doubt about the usefulness of public opinion toward different issues in social media and the World Wide Web. Extracting the feelings of people about an issue from text is not straightforward. Polarity lexicons that assign polarity tags or ...

Word clustering is a serious challenge in low-resource languages. Since words that share semantics are expected to be clustered together, it is common to use a feature vector representation generated from a distributional theory-based word embedding ...

In recent years, online sentiment texts are generated by users in various domains and in different languages. Binary polarity classification (positive or negative) on business sentiment texts can help both companies and customers to evaluate products or ...

Large-scale parallel corpora are essential for training high-quality machine translation systems; however, such corpora are not freely available for many language translation pairs. Previously, training data has been augmented by pseudo-parallel corpora ...

In this article, we propose a unified deep neural network framework for multilingual question answering (QA). The proposed network deals with the multilingual questions and answers snippets. The input to the network is a pair of factoid question and ...

The convolutional sequence-to-sequence (ConvS2S) machine translation system is one of the typical neural machine translation (NMT) systems. Training the ConvS2S model tends to get stuck in a local optimum in our pre-studies. To overcome this inferior ...

In this study, we developed an Isarn Dharma word segmentation system. We mainly focused on solving the word ambiguity and unknown word problems in unsegmented Isarn Dharma text. Ambiguous Isarn Dharma words occur frequently in word construction due to ...

Transliteration removes the script barriers. Unfortunately, Punjabi is written in four different scripts, i.e., Gurmukhi, Shahmukhi, Devnagri, and Latin. The Latin script is understandable for nearly all factions of the Punjabi community. The objective ...

Social media data is unstructured data where these big data are exponentially increasing day to day in many different disciplines. Analysis and understanding the semantics of these data are a big challenge due to its variety and huge volume. To address ...

The primary objective of this work is to classify Hindi and Telugu stories into three genres: fable, folk-tale, and legend. In this work, we are proposing a framework for story classification (SC) using keyword and part-of-speech (POS) features. For ...

Machine translation aims to break the language barrier that prevents communication with others and increase access to information. Deaf people face huge language barriers in their daily lives, including access to digital and spoken information. There ...

The evolution of information and communication technology has markedly influenced communication between correspondents. This evolution has facilitated the transmission of information and has engendered new forms of written communication (email, chat, ...

We present a novel Indic handwritten word recognition scheme by fusion of spatio-temporal information extracted from handwritten images. The main challenge in Indic word recognition lies in its complexity because of modifiers, touching characters, and ...