Blog

Complex Sentence Simplification Techniques

Many neurodiverse individuals, such as those with autism, ADHD, or dyslexia, will benefit from simplified sentences that are that is direct and unambiguous. Natural Language Processing (NLP) are utilized in making long and complex sentences easier to understand for neurodiverse individuals.  Through my research, I have identified various techniques of NLP that can be utilized in conjunction to each other for simplifying complex sentences. Dependency Parsing: In this technique, a sentence is split into multiple shorter, logically connected sentences using

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Complex Information Processing and Neurodivergence

One significant communication barrier faced by the neurodivergent community is the challenge of understanding complex sentences, which often involve multiple clauses, complicated grammatical structures, lengthy sentences, or abstract language. Comprehension of complex sentences requires a longer attention span, more mental processing, higher attention span, longer working memory, and sometimes interpretation of figurative language. In my blog today, I will explore specific issues neurodivergent individuals face in comprehending complex information and how it varies depending on the particular neurodivergent condition. While

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Audio Sentiment Analysis

Audio Sentiment Analysis is the process of extracting sentiment information from spoken audio using Computational Linguistics (speech processing) and Machine Learning. We analyze various audio attributes, such as pitch, intonation, prosody, and volume, to identify whether the tone contains sarcasm, frustration, anger, joy, or sadness in this process.  The following steps involve analyzing sentiment in an audio recording. First, pre-processing is performed on the Audio Signal, where the audio is transformed into a digital signal. These signals are analyzed for their frequency

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Deciphering the Tone of Spoken Words

According to the widely cited ‘7-38-55 rule’, only 7% of human communication is verbal (spoken words). In comparison, the remaining 93% is considered nonverbal, with 38% attributed to tone of voice and 55% to body language (https://pmc.ncbi.nlm.nih.gov/articles/PMC6127604/). Through my research thus far through reading articles and papers, watching videos, and talking to my school’s Options Program teacher, I have now realized that the most significant communication barrier neurodivergent individuals face is their challenge in deciphering social cues and tone of

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Slowing the Tempo of Spoken Audio

While researching neurodiverse communication challenges, I learned that many neurodiverse individuals find high-tempo speech challenging to process and understand. Some people with Autism have difficulty processing rapid speech due to the increased cognitive load of interpreting words, tone, and intent. Similarly, fast-paced speech can be overwhelming for those individuals with ADHD, who often experience challenges with sustained attention. Slower speech can help them focus and follow along more effectively. Today, I will share what I learned about what technology is

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Computational Linguistics and its Applications

Computational Linguistics (CL) is the branch of linguistics in which the concepts and algorithms of computer science are applied in performing analysis and synthesis of language and speech. This field of study focuses on the idea I briefly touched on in my last blog: machines can be taught to understand and output a language. The field deals with both written and spoken forms of the language. The following article from Stanford University beautifully explains the concepts of this field: https://plato.stanford.edu/entries/computational-linguistics/.

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Linguistics and its Application in easing Communication Barriers

I was first introduced to ‘Linguistics’ when I started to study French as a 7th grader. The rules of the language at the time felt arbitrary to me. STEM is relatively straightforward; you apply logic and reason and have a definitive answer. That wasn’t the case for the French language. I started to wonder what the science behind the construction of these languages is. My search with an old friend, google, introduced me to Linguistics. So I realized there was

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Common Challenges in the Neurodivergent Community

Common Challenges: Neurodivergent individuals (those with conditions such as autism, dyslexia, ADHD, and other differences in brain function) face a wide variety of challenges in day-to-day life that aren’t shared by their neurotypical peers. It is important to note that the nature of these challenges can vary wildly due to the nature of neurodivergence. There is a popular quote by Dr. Steven Shore, “If you’ve met one person with autism, you’ve met one person with autism.” This also applies to

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Controversy of Healthcare and Neurodivergence

The conversation regarding healthcare for neurodivergent individuals has been extremely controversial. At the heart of the debate is a fundamental difference in ideologies: should neurodivergence be viewed through a medial lens where the focus is on curing these conditions, or should the goal be to treat these conditions as natural variations and provide support without pathologizing neurodivergence? Put simply, should neurodivergence be cured? This tension shapes how healthcare professionals, policymakers, and the neurodivergent community approach medical interventions, therapy, and support

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History of the Neurodiversity Movement‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎

The Neurodiversity Movement The Neurodiversity movement started in the late 1980s and early 1990s, and since then they have been working tirelessly to change the way that we view autism, ADHD, and other neurological “disorders”. They have had a notable impact on how these conditions are viewed by society and the medical field, as well as reducing stigma about neurodiversity. For these reasons, I think it is important to know more about the movement and how it came about, which

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Defining Terms: Commonly used words and phrases relating to Neurodiversity

While researching neurodiversity and the unique set of challenges that need to be addressed, I came across several terms that I did not know the meaning of. As I continued to LinguaLink and told others about it, I realized that several others did not know several of the relevant terms. I am writing this blog to educate more people about these valuable terms. Neurodiversity: Firstly, let’s define neurodivergent: this term describes people whose neurological development and function differ is not considered

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Welcome to my Blog Space!

This is my first blog I am writing for my non-profit, LinguaLink. I founded this non-profit to empower the neurodivergent community and hope to achieve this with the cutting-edge research being done in the field of Computational Linguistics. I have a friend who is neurodivergent. The way he talks is different from the way many others talk. He often gives long-winded explanations filled with intense detail, and if you let him, he will talk for hours straight. This has led many

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Audio Sentiment Analysis

Audio Sentiment Analysis is the process of extracting sentiment information from spoken audio using Computational Linguistics (speech processing) and Machine Learning. We analyze various audio

Read More »

Slowing the Tempo of Spoken Audio

While researching neurodiverse communication challenges, I learned that many neurodiverse individuals find high-tempo speech challenging to process and understand. Some people with Autism have difficulty

Read More »