Fundamentals of NLP: From Tokenization to Semantics
Part-of-Speech Tagging in NLP
Part-of-Speech (POS) Tagging is the process of assigning a specific grammatical category (such as noun, verb, adjective, or adverb) to each word in a text, based on its definition and context. Since many words function as different parts of speech depending on usage (e.g., “book” as a noun vs. a verb), POS tagging is essential for disambiguation.
The Need for POS Tagging
POS tagging serves as a foundational preprocessing step for complex language tasks:
- Word Sense Disambiguation:
Understanding Structure Words and Predicate-Argument Logic
Understanding Structure Words in Linguistics
In linguistics, structure words (also known as function words) serve as the grammatical “glue” that holds a sentence together. Unlike content words (nouns, verbs, adjectives) that carry specific imagery or meaning, structure words establish the relationships between those concepts. They are typically a closed class, meaning new words like “the” or “with” are rarely added to the language, unlike the ever-evolving vocabulary of technology or slang.
Components
Read MoreLanguage Production and Perception Mechanisms
Language Production Stages
This stage transforms the idea into linguistic form, known as Formulation.
a) Grammatical Encoding
- Selection of lemmas (words with syntactic info).
- Assignment of grammatical roles (subject, object).
- Construction of syntactic structure.
- Agreement features (tense, number).
b) Phonological Encoding
- Retrieval of phonological form.
- Syllabification.
- Stress assignment.
- Phoneme ordering.
Articulation
- Motor cortex activates speech muscles.
- Speech is physically produced.
- Highly automated process.
NLP Fundamentals: Morphology, Semantics, and Parsing
Word Structure and Components in NLP
In linguistics and Natural Language Processing (NLP), a structured word (or word structure) refers to how a word is internally organized using meaningful building blocks. Words are not always indivisible; many are formed by combining smaller units called morphemes, which are the smallest units of meaning.
Components of Word Structure
- Root / Base: The core element carrying the primary meaning. Example: play in replay, player, and playful.
- Stem: The form to which affixes
Core Concepts and Challenges in Natural Language Processing
NLP Fundamentals and Key Challenges
Main Challenges in NLP
- Ambiguity: Lexical, syntactic, semantic, and pragmatic complexities.
- Context Understanding: Interpreting meaning based on surrounding text.
- Sarcasm/Irony Detection: Identifying non-literal language use.
- Multilinguality & Low-Resource Languages: Handling diverse languages, especially those with limited data.
Core NLP Definitions
Sentiment Analysis
Sentiment analysis is the process of identifying and classifying opinions or emotions expressed
Read MoreComparative Syntax: English and Spanish Linguistic Analysis
1. Grammaticality Asymmetry in Preposing
The contrast between English and Spanish in (1) and (2) stems from different syntactic constraints. In (1), Left Dislocation is restricted to referential NPs in English, whereas Spanish allows broader usage. In (2), the lack of asymmetry is due to the requirement for I-to-C movement (subject-verb inversion) in both English Negative Inversion and Spanish focalization structures.
2. Syntactic Operations: Object Positioning
- (a) Heavy NP-Shift: The object shifts