Disambiguation is a part of NLP Process Natural language is highly ambiguous

Disambiguation is a part of nlp process natural

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Disambiguation is a part of NLP Process Natural language is highly ambiguous and must be disambiguated. Ambiguity is Ubiquitous Phonological ambiguity Ambiguity is available in speech recognition. “youth in Asia” vs. “euthanasia” “recognize speech” vs. “wreck a nice beach” Syntactical ambiguity. I saw a man with a glass Semantically ambiguity ዘነበ ስም
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Cont’ Ambiguity is Explosive Ambiguities compound to generate enormous numbers of possible interpretations. In English, a sentence ending in n prepositional phrases has over 2n syntactic interpretations (what about Amharic). I saw the man with the telescope” 2 parses I saw the man on the hill with the telescope: 5 parses I saw the man on the hill in Texas with the telescope” 14 parses I saw the man on the hill in Texas with the telescope at noon.”: 42 parses I saw the man on the hill in Texas with the telescope at noon on Monday” 132 parses
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Cont’ Humor and Ambiguity: Many jokes rely on the ambiguity of language: E.g. Policeman to little boy: “We are looking for a thief with a bicycle.” Little boy: “Wouldn’t you be better using your eyes.” የአማርኛ ቅኔ ሰምና ወርቅ
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Natural Language Processing objectives 1. Understand languages Taking some spoken/typed sentence and working out what it means 2. Generate languages Taking some formal representation of what you want to say and working out a way to express it in a natural (human) language (e.g., English) NLP - Prof. Carolina Ruiz
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‘Cont Natural Language Vs Artificial Language ዝናቡ መጣ ፀሃይ ወጣች ዝናቡ ሲሄድ ፀሃይ ወጣች Plant as a photosynthetic organism plant as a manufacturing facility plant as the act of sowing
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Cont’ Ambiguity is the primary difference between natural and computer languages. Formal programming languages are designed to be unambiguous, i.e. they can be defined by a grammar that produces a unique parse for each sentence in the language.
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Cont What is NLP? The term Natural Language Processing(NLP) encompasses a broad set of techniques for automated generation, manipulation and analysis of natural or human languages. NLP focused on developing systems that allow computers to communicate with people with human using everyday language. Its evolves in research agenda with a question of how computational methods can aid the understanding of human language.
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Basic Terminology in NLP Token: linguistic units such as words, punctuation, numbers or alphanumeric are known as tokens. Sentence: An ordered sequence of tokens. Corpus: A body of text, usually containing a large number of sentences.
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