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Tag Computation and Language

Words Start With Whi?

Have you ever stopped to ponder the vast array of words beginning with “whi”? This unique combination of letters spawns a variety of intriguing vocabulary choices, each with its own distinct meaning and usage. Let’s delve into the realm of… Continue Reading →

Can A Cat Understand What We Say?

How do cats understand human language? Understanding the way cats perceive and interpret human language has been a topic of fascination for many pet owners. While we cannot be certain about the extent of their comprehension, research has shown that… Continue Reading →

A Context-Aware Natural Language Generator for Dialogue Systems: Enhancing Conversational Experiences

Chatbots and virtual assistants have become increasingly popular in recent years, serving as a medium for interactive and engaging conversations with users. However, many of these dialogue systems struggle to provide responses that are contextually appropriate and tailored to the… Continue Reading →

Exploring Sequence-to-Sequence Generation for Spoken Dialogue with Deep Syntax Trees: Advancements in Natural Language Generation

The field of natural language generation (NLG) continues to evolve, aiming to create more human-like and coherent responses in spoken dialogue systems. One promising approach is sequence-to-sequence generation, which leverages deep syntax trees to produce high-quality natural language strings. In… Continue Reading →

Strengthening Word Embeddings with Distributional Lexical Contrast

Word embeddings have revolutionized various natural language processing tasks by transforming words into dense vector representations, capturing the semantic and syntactic relationships between them. A recent research article titled “Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction” by… Continue Reading →

Generating Natural Questions About an Image: Exploring Visual Question Generation and its Implications in Vision & Language

Can machines ask engaging and natural questions about an image? This research article titled “Generating Natural Questions About an Image” dives into the fascinating world of Visual Question Generation (VQG). Authored by Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell,… Continue Reading →

SQUINKY!: Understanding Sentence-level Formality, Informativeness, and Implicature

Have you ever wondered how people judge the formality, informativeness, and implicature of a sentence? It might sound like a daunting task, but researchers are making great strides in understanding these linguistic variables. In this article, we delve into the… Continue Reading →

Demystifying Mikolov et al.’s Negative-Sampling Word-Embedding Method: Understanding word2vec

Word2vec, developed by Tomas Mikolov and his colleagues, has garnered significant attention in recent years for its cutting-edge word embeddings. The research papers describing the learning models behind the word2vec software, however, have often been criticized for their cryptic nature… Continue Reading →

The Power of Distributed Representations of Words and Phrases in Natural Language Processing

Understanding the intricacies of language has always been a challenging task for machines. However, recent advancements in Natural Language Processing (NLP) have brought us closer to a breakthrough. In 2023, a significant research paper titled “Distributed Representations of Words and… Continue Reading →

The Homogenization of Ethnic Differences in Singapore English: Exploring Consonantal Production

Singapore English (SgE) is a fascinating linguistic phenomenon that has been extensively studied due to its unique characteristics and its emergence as a distinct variety of English spoken in Singapore. Previous research has highlighted the presence of specific segmental and… Continue Reading →

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