Natural Language in a sentence

(1) I am studying natural language processing.

(2) NLP stands for Natural Language Processing.

(3) Libras is recognized as a natural language.

(4) Thon is used in natural language processing.

(5) NLU stands for Natural Language Understanding.

(6) BDD scenarios are written in natural language.

(7) Python is used for natural language processing.

(8) Prolog can be used in natural language generation.

(9) Prolog is often used in natural language processing.

(10) I'm going to train it to understand natural language.

Natural Language sentence

(11) Infix notation is used in natural language processing.

(12) Pym has a module for natural language processing tasks.

(13) The professor specializes in natural language semantics.

(14) Sle offers support for natural language processing tasks.

(15) The AI's understanding of natural language was humanlike.

(16) Lemmatised is a common term in natural language processing.

(17) Context-free rules are used in natural language processing.

(18) AIC can understand and respond to natural language queries.

(19) I use Spacy for natural language processing in my research.

(20) Chunking is a technique used in natural language processing.

Natural Language make sentence

(21) She has a knack for understanding natural language patterns.

(22) The software can detect and correct natural language errors.

(23) The tokenized data was used for natural language processing.

(24) Stemming is a technique used in natural language processing.

(25) The computer run on a natural language processing algorithm.

(26) The software provides real-time natural language translation.

(27) Markov models are widely used in natural language processing.

(28) Trigrams are widely used in natural language processing tasks.

(29) The company is hiring natural language processing specialists.

(30) Rule-based algorithms are used in natural language processing.

Sentence of natural language

(31) I have been using Keras for natural language processing tasks.

(32) The software can parse and interpret natural language queries.

(33) SVR is a popular choice for natural language processing tasks.

(34) Bigrams are a common tool used in natural language processing.

(35) Natural language processing is a subset of language processing.

(36) Tokenizing is an essential step in natural language processing.

(37) The lexemes array is used in natural language processing tasks.

(38) The artificial language is used in natural language processing.

(39) Markov models are commonly used in natural language processing.

(40) An intelligent system can assist in natural language processing.

Natural Language meaningful sentence

(41) The book delves into the history of natural language processing.

(42) The software can analyze large volumes of natural language data.

(43) LSI is an important technique in natural language understanding.

(44) The AIC can understand natural language and respond accordingly.

(45) GPT has revolutionized the field of natural language processing.

(46) A-u-s is a word that can be used in natural language processing.

(47) Lexical analysis is used in natural language processing as well.

(48) The course focuses on the development of natural language skills.

(49) Computational linguistics is used in natural language processing.

(50) I'm going to train it to simulate natural language conversations.

Natural Language sentence examples

(51) The bigram model is commonly used in natural language processing.

(52) The metric space of words is used in natural language processing.

(53) The LAMMA project aims to enhance natural language understanding.

(54) Bigrams are a type of n-gram used in natural language processing.

(55) The GPT model is widely used in natural language processing tasks.

(56) The app uses natural language processing to analyze user feedback.

(57) The course covers the fundamentals of natural language processing.

(58) The array ufv could be used in a natural language processing task.

(59) I'm taking a class on natural language acquisition in linguistics.

(60) Wordnet is widely used in natural language processing applications.

Sentence with natural language

(61) Python is used for creating natural language understanding systems.

(62) Decompounding is a useful technique in natural language processing.

(63) Entailments play a significant role in natural language processing.

(64) The use of classifiers is essential in natural language processing.

(65) The WordNet database is widely used in natural language processing.

(66) Watson is capable of answering questions posed in natural language.

(67) LM can also refer to language model in natural language processing.

(68) The bot's natural language processing capabilities were impressive.

(69) FST is a key component of many natural language processing systems.

(70) The algo I used for natural language processing is a neural network.

Use natural language in a sentence

(71) He is conducting research on natural language processing techniques.

(72) The tokens in the array are used for natural language understanding.

(73) The parser is able to parse and understand natural language queries.

(74) LSI is a mathematical technique used in natural language processing.

(75) Chunking is a fundamental concept in natural language understanding.

(76) LAMMA contributes to the advancement of natural language processing.

(77) The text corpus was.normalized to study natural language processing.

(78) The study aims to improve natural language understanding in chatbots.

(79) Preprocessing is a crucial step in natural language processing tasks.

(80) The first step in natural language processing is tokenizing the text.

Sentence using natural language

(81) FST is a powerful tool for analyzing and generating natural language.

(82) The parser is an integral part of natural language processing systems.

(83) Chatbots are programmed to understand and respond to natural language.

(84) The software uses advanced algorithms for natural language generation.

(85) The workshop will cover various topics in natural language processing.

(86) Semantical analysis is a key component of natural language processing.

(87) Chunking is a key component in many natural language processing tasks.

(88) Feature selection is a common practice in natural language processing.

(89) The company offers natural language processing services for businesses.

(90) The course includes practical exercises in natural language processing.

Natural Language example sentence

(91) Hyponyms can be used to improve natural language processing algorithms.

(92) Stemming is a common preprocessing step in natural language processing.

(93) The algorithm normalizes the text data for natural language processing.

(94) We aim to automate with the utilization of natural language processing.

(95) Word embeddings are a popular technique in natural language processing.

(96) The first step in natural language processing is to vectorize the text.

(97) I'm taking a course on natural language processing in computer science.

(98) FST is a key concept in the development of natural language interfaces.

(99) The team is working on a project related to natural language generation.

(100) NCE is an important concept in the study of natural language processing.

Sentence with word natural language

(101) The trigram is a linguistic concept used in natural language processing.

(102) Sentential analysis is an important tool in natural language processing.

(103) The application area of this approach is in natural language processing.

(104) The capabilities of GPT have revolutionized natural language processing.

(105) The semantic tree is a powerful tool for natural language understanding.

(106) Lemmatised forms of verbs are often used in natural language processing.

(107) The process of disambiguation is crucial in natural language processing.

(108) Morphological analysis is used in natural language processing algorithms.

(109) Syntactic analysis is an important aspect of natural language processing.

(110) Syntactic analysis is often used in natural language understanding tasks.

Sentence of natural language

(111) The application area of this algorithm is in natural language processing.

(112) Knowledge representation plays a key role in natural language processing.

(113) Feedforward networks are often used in natural language processing tasks.

(114) The conference was about the challenges of axiomatising natural language.

(115) I'm taking a class on natural language understanding in computer science.

(116) Deep learning has revolutionized the field of natural language processing.

(117) Lexical semantics plays a significant role in natural language processing.

(118) The study analyzes the effectiveness of different natural language models.

(119) Context-free grammars are used in the analysis of natural language syntax.

(120) The untyped text caused difficulties in natural language processing tasks.

Natural Language used in a sentence

(121) The stemmer algorithm is widely used in natural language processing tasks.

(122) Language processing is a crucial aspect of natural language understanding.

(123) Semantic processing is a crucial aspect of natural language understanding.

(124) Lemmas are often used in natural language processing and machine learning.

(125) The team is developing a natural language interface for virtual assistants.

(126) Language processing plays a crucial role in natural language understanding.

(127) Parsers are essential components in natural language understanding systems.

(128) NLU is an important tool for natural language processing and understanding.

(129) Vector representations are widely used in natural language processing tasks.

(130) The conference attracts experts in the field of natural language processing.

Natural Language sentence in English

(131) Disambiguation is a critical step in natural language understanding systems.

(132) The vosk library is widely used in the field of natural language processing.

(133) Coreference resolution is a challenging task in natural language processing.

(134) Coreference is an important consideration in natural language understanding.

(135) The lemmas array is being used to train a natural language processing model.

(136) The stemmer algorithm is commonly used in natural language processing tasks.

(137) N-grams, including trigrams, are widely used in natural language processing.

(138) The first step in natural language processing is to tokenize the given text.

(139) Control flow can be used to create natural language processing applications.

(140) Discriminators are used in natural language processing to classify text data.

(141) Wordnet plays a crucial role in various natural language understanding tasks.

(142) The book provides a comprehensive overview of natural language understanding.

(143) The company is developing a new natural language interface for their product.

(144) Normalizers are used in natural language processing to standardize text data.

(145) Document retrieval is a key component in natural language processing systems.

(146) Bigrams are an essential component of many natural language processing tasks.

(147) The feed forward mechanism is a key component in natural language processing.

(148) Semantic networks can be used to analyze and interpret natural language text.

(149) The first step in natural language processing is to preprocess the text data.

(150) Embeddings can be used to generate text in natural language generation tasks.

(151) WordNet is a powerful tool for natural language understanding and generation.

(152) Siris has a natural language processing system that makes communication easy.

(153) Pattern recognition is used in natural language processing to understand text.

(154) Human language technology plays a crucial role in natural language processing.

(155) Sequential processing is a key feature of natural language processing systems.

(156) WordNet facilitates the development of natural language understanding systems.

(157) Triphone models are commonly used in natural language processing applications.

(158) The segmenter is an essential component of natural language processing systems.

(159) Supervised learning is widely used in natural language processing applications.

(160) Natural language processing algorithms often rely on disambiguation techniques.

(161) The concept of lexicalized grammar is important in natural language processing.

(162) Lexicalized features are commonly used in natural language understanding tasks.

(163) The intelligent robot interacted with humans using natural language processing.

(164) The singularize function is commonly used in natural language processing tasks.

(165) Symbolics' Lisp machines were used in the field of natural language processing.

(166) Lexicons can be used to create language models for natural language processing.

(167) The lexemes array is a fundamental component of natural language understanding.

(168) Multinomials are used in natural language processing to model word frequencies.

(169) The development of bots has led to advancements in natural language processing.

(170) Context-free grammars are used in the generation of natural language sentences.

(171) The context-free grammar provided a foundation for natural language processing.

(172) An intelligent system can process natural language and understand human speech.

(173) Array processing is used in speech recognition and natural language processing.

(174) I appreciate how Siris can understand and respond to natural language commands.

(175) An intelligent computer can understand and respond to natural language commands.

(176) I am learning about bigrams and their importance in natural language processing.

(177) The 'dic' array is an integral part of many natural language processing systems.

(178) The collocational approach to language teaching emphasizes natural language use.

(179) An intelligent machine can process natural language and understand human speech.

(180) The sliding window method is commonly used in natural language processing tasks.

(181) Chunking is an essential component of many natural language processing pipelines.

(182) The study of semantic knowledge has implications for natural language processing.

(183) Convolutional networks have been successful in natural language processing tasks.

(184) Applying a stemmer can improve the accuracy of natural language processing tasks.

(185) The article explores the challenges of natural language processing in healthcare.

(186) The study examines the role of natural language processing in sentiment analysis.

(187) The app uses natural language algorithms to provide personalized recommendations.

(188) The singularize feature is widely used in natural language understanding systems.

(189) Morphosyntax is an important component of natural language processing algorithms.

(190) The pattern matching algorithm plays a vital role in natural language processing.

(191) The concept of trigraphs is relevant in the field of natural language processing.

(192) Stemming is a common preprocessing step in natural language processing pipelines.

(193) Watson's technology is based on natural language processing and machine learning.

(194) The natural language processing model required us to encode into word embeddings.

(195) We hope to be the developer of a revolutionary natural language processing system.

(196) Prosody is an important consideration in the field of natural language processing.

(197) The coding scheme implemented in this chatbot enables natural language processing.

(198) The professor is renowned for his contributions to natural language understanding.

(199) Lexicalized word embeddings are used in various natural language processing tasks.

(200) I was impressed by the natural language processing capabilities of the chatterbot.

(201) Pattern-matching is an essential component of natural language processing systems.

(202) An intelligent machine can process natural language and understand human commands.

(203) The algor has the ability to process natural language and understand human speech.

(204) In natural language, disjunctors are often used to express contrast or opposition.

(205) LSI can be used to improve the performance of natural language processing systems.

(206) The annotators' annotations were used to train a natural language processing model.

(207) The voice recognition system is capable of understanding natural language commands.

(208) Trigrams are an important component of many natural language processing algorithms.

(209) The conference will discuss the latest advancements in natural language processing.

(210) An intelligent robot can communicate with humans using natural language processing.

(211) Understanding the semantic tree is essential for natural language processing tasks.

(212) The computer program is capable of performing complex parsings of natural language.

(213) The parser effectively parses the natural language text and understands its meaning.

(214) The software engineer reprograms the chatbot to understand natural language queries.

(215) ML is used in natural language processing to understand and generate human language.

(216) The natural language processing task was parallelized to process large text corpora.

(217) Classifiers can help improve the accuracy of natural language processing algorithms.

(218) Computing has made it possible for us to create and use natural language processing.

(219) Parsing can be used in natural language processing to understand language structure.

(220) The computer scientist's research led to advancements in natural language processing.

(221) Lexicalized language models are used in various natural language understanding tasks.

(222) Tokenizing is used in natural language understanding systems to process user queries.

(223) Ontologies are used in natural language processing to improve semantic understanding.

(224) The virtual assistant operates via voice recognition and natural language processing.

(225) Disassimilation can occur due to ease of pronunciation or natural language evolution.

(226) The feed forward into approach is commonly used in natural language processing tasks.

(227) The bigram model is a statistical language model used in natural language processing.

(228) Syntactic analysis is a crucial step in the process of natural language understanding.

(229) The researcher is exploring the ethical implications of natural language technologies.

(230) The pluralize function is an essential part of any natural language processing system.

(231) Nondeterminacy in natural language processing can result in ambiguous interpretations.

(232) In natural language processing, words are often converted into vector representations.

(233) The field of natural language processing has made significant progress in recent years.

(234) The segmentation problem can be challenging to overcome in natural language processing.

(235) The semantic tree is a fundamental concept in the field of natural language processing.

(236) ReLU is a popular choice for activation functions in natural language processing tasks.

(237) GPT's development has paved the way for advancements in natural language understanding.

(238) The study of generative grammar has led to advancements in natural language processing.

(239) The intelligent machine's natural language processing abilities make it a powerful tool.

(240) Syntactic analysis is an integral part of many natural language processing applications.

(241) Colocates can be used to improve the performance of natural language processing systems.

(242) The undefined smartnesses of the chatbot made it capable of natural language processing.

(243) Entailment is a key component in natural language understanding and machine translation.

(244) The MST algorithm is used in natural language processing to analyze sentence structures.

(245) The concept of associativities is important in the study of natural language processing.

(246) I'm interested in learning about natural language generation in artificial intelligence.

(247) The utf encoding is widely used in text processing and natural language processing tasks.

(248) The software converts the text into an intermediate form for natural language processing.

(249) Natural language processing algorithms can be trained to recognize patterns in text data.

(250) Disambiguation is a vital process in natural language understanding and machine learning.

(251) Disambiguation is a common task in natural language processing and information retrieval.

(252) Massively parallel computing is revolutionizing the field of natural language processing.

(253) The semantic relation between words can be utilized in natural language processing tasks.

(254) The trigram model is a fundamental component of many natural language processing systems.

(255) Entailment plays a significant role in natural language processing and semantic analysis.

(256) Convolutional networks have been successful in various natural language processing tasks.

(257) Natural language processing is used in spam filters to identify and block unwanted emails.

(258) Natural language processing can be used to analyze social media data and extract insights.

(259) The nondeterminacy of natural language processing poses challenges in machine translation.

(260) The syntactician's research contributed to the development of natural language processing.

(261) The semantic relation between words can be used to improve natural language understanding.

(262) Disjunctors can also be used in natural language to express alternatives or possibilities.

(263) Lexicons are used in natural language understanding systems to improve language processing.

(264) Shape analysis can be used to analyze and classify patterns in natural language processing.

(265) The search algorithm employs natural language processing to understand user queries better.

(266) Supervised learning is widely used in natural language processing to build language models.

(267) I'm hoping to learn more about sentiment analysis in my natural language processing course.

(268) Text summarization techniques have evolved with advancements in natural language processing.

(269) The intelligent machine's natural language generation capabilities make it a versatile tool.

(270) Convolutional networks have been used for sentiment analysis in natural language processing.

(271) Natural language processing can help automate tasks like email filtering and categorization.

(272) Natural language processing can be used to generate summaries of long documents or articles.

(273) Semantic networks are often used in artificial intelligence and natural language processing.

(274) Fuzzy inference is employed in natural language processing to handle linguistic uncertainty.

(275) In natural language processing, the feature vector represents the semantic meaning of words.

(276) The researcher is investigating the impact of natural language interfaces on user experience.

(277) Natural language processing is a field of study that focuses on understanding human language.

(278) Speech synthesis technology has made significant advancements in natural language processing.

(279) A deep understanding of lexical semantics is essential for natural language processing tasks.

(280) The complex type of this natural language processing algorithm enables accurate understanding.

(281) The robot's ability to understand and respond to natural language was astonishingly humanlike.

(282) The multinomial distribution is used in natural language processing to model word frequencies.

(283) Accuracy evaluation is essential in natural language processing tasks like sentiment analysis.

(284) Conditional statements are used in natural language processing to analyze and understand text.

(285) The basebands of the virtual assistant were programmed to understand natural language commands.

(286) Tensors are used in natural language processing for text classification and sentiment analysis.

(287) Semantic networks are commonly used in artificial intelligence and natural language processing.

(288) Spacy's part-of-speech tagging feature is essential for many natural language processing tasks.

(289) Natural language processing often involves the use of parsers to understand sentence structure.

(290) Hinton's research has paved the way for significant advancements in natural language processing.

(291) In natural language processing, identifying the correct lexeme is crucial for accurate analysis.

(292) The use of neuroevolutionary algorithms has led to breakthroughs in natural language processing.

(293) Javadi's research team is currently working on a project related to natural language processing.

(294) The success of natural language processing relies on the ability to handle ambiguity and context.

(295) The meta tag should be written using natural language to appeal to both search engines and users.

(296) Researchers are exploring the use of neuroevolutionary techniques in natural language processing.

(297) GPT's language model can assist in generating natural language explanations for complex concepts.

(298) Knowledge representation is used in natural language processing to understand and interpret text.

(299) Preprocessing is a crucial step in natural language processing to prepare text data for analysis.

(300) Pattern-matching can be used to identify patterns in natural language text for sentiment analysis.

(301) Natural language understanding is a subfield of language processing that focuses on comprehension.

(302) Multinomials are used in natural language processing to model the distribution of words in a text.

(303) FST stands for Finite State Transducer, a computational model used in natural language processing.

(304) Natural language processing can be used to identify and classify different types of text documents.

(305) The accuracy of natural language processing systems can be improved by incorporating user feedback.

(306) The lowercased version of a word is commonly used in text analysis and natural language processing.

(307) Natural language processing relies on parsers to understand the grammatical structure of sentences.

(308) LSI is a versatile technique that has applications in various areas of natural language processing.

(309) The field application of cognitive computing has improved natural language processing capabilities.

(310) The multiclass classification problem is commonly encountered in natural language processing tasks.

(311) Disambiguation is a key component in machine learning algorithms for natural language understanding.

(312) The turing test is a way to evaluate a machine's ability to engage in natural language conversation.

(313) The undefined smartnesses of the natural language processing system enabled efficient communication.

(314) The study of exocentricity has practical applications in fields such as natural language processing.

(315) Automata theory has practical applications in areas such as robotics and natural language processing.

(316) The applications of natural language processing range from sentiment analysis to machine translation.

(317) Disambiguation is a fundamental task in computational linguistics for natural language understanding.

(318) Array processing techniques are employed in speech synthesis and natural language processing systems.

(319) The subsampling technique is widely used in natural language processing to handle large text corpora.

(320) Although semantic analysis can be challenging, it is a crucial aspect of natural language processing.

(321) The field of language processing is constantly seeking ways to improve natural language understanding.

(322) Many companies are investing heavily in natural language processing to improve their customer service.

(323) Natural language processing can be used to analyze large amounts of text data quickly and efficiently.

(324) Natural language processing can be used to extract meaningful information from unstructured text data.

(325) Supercomputers are employed in the field of computational linguistics for natural language processing.

(326) Human language technology has played a crucial role in the development of natural language processing.

(327) The LCT research group focuses on developing cutting-edge technologies for natural language processing.

(328) Researchers are constantly working on improving the accuracy of natural language processing algorithms.

(329) The limitations of natural language processing include difficulties in understanding sarcasm and humor.

(330) Automatic speech recognition is an active area of research in the field of natural language processing.

(331) The field of humanlike natural language processing is a popular research area for linguistics students.

(332) The advancements in natural language processing have revolutionized the way we interact with technology.

(333) The next-generation AI assistant understands natural language and provides personalized recommendations.

(334) The stemmer algorithm is a valuable tool for text preprocessing in natural language understanding tasks.

(335) Semantic networks can be used to detect and resolve semantic ambiguities in natural language processing.

(336) The bigram algorithm is a fundamental tool in natural language processing and computational linguistics.

(337) The development of natural language processing has led to advancements in machine translation technology.

(338) Parsers are essential in natural language generation systems to generate grammatically correct sentences.

(339) The application area of natural language processing includes speech recognition and language translation.

(340) Morphological analysis is an important tool in computational linguistics and natural language processing.

(341) Natural language processing is used in virtual assistants like Siri and Alexa to understand user commands.

(342) The accuracy of natural language processing systems depends on the quality and diversity of training data.

(343) The development of natural language processing has opened up new possibilities in automated text analysis.

(344) The lexicalized approach to language modeling has revolutionized the field of natural language processing.

(345) Object recognition is an important aspect of natural language processing for understanding visual content.

(346) The development of semantic processing models has revolutionized the field of natural language processing.

(347) Understanding the semantic tree is crucial for machine learning algorithms in natural language processing.

(348) The information retrieval system employs natural language processing techniques to improve search accuracy.

(349) Oversampling is commonly used in natural language processing to handle imbalanced sentiment analysis tasks.

(350) The goal of natural language processing is to enable computers to understand and respond to human language.

(351) Natural language processing is a complex and challenging field that requires expertise in multiple domains.

(352) The pattern matching algorithm is an essential tool in natural language processing for text classification.

(353) Understanding lexical semantics is crucial for disambiguating word meanings in natural language processing.

(354) The development of artificial brains could lead to advancements in the field of natural language processing.

(355) Spacy's documentation and community support make it a great choice for natural language processing projects.

(356) The concept of semantemes has been influential in the development of natural language processing technology.

(357) The field of natural language processing aims to analyze the semantic meaning of written and spoken language.

(358) Perceptrons have been used in various applications such as speech recognition and natural language processing.

(359) The principles of quantification theory can be applied to analyze the structure of natural language sentences.

(360) The study of generative grammar has led to advancements in natural language processing and machine translation.

(361) Natural language processing can be used to automate the process of extracting information from medical records.

(362) The applications of natural language processing extend beyond text to include speech recognition and synthesis.

(363) Forward chaining is widely used in natural language processing to understand and generate human-like responses.

(364) Connectionism has the potential to improve the accuracy of natural language processing if properly implemented.

(365) The principles of automata theory are applied in the development of algorithms for natural language processing.

(366) Semantic processing is a key component of natural language understanding systems used in information retrieval.

(367) The perceptron has been used in various applications such as image recognition and natural language processing.

(368) Tokenizing is often used in natural language generation to create coherent and grammatically correct sentences.

(369) Knowledge representation is used in natural language processing to understand and generate human-like responses.

(370) DBpedia is a valuable resource for natural language processing, information retrieval, and knowledge management.

(371) Natural language processing is a rapidly evolving field with new techniques and models being developed regularly.

(372) The aim of this experiment is to compare the results of the two different natural language processing techniques.

(373) If you want to improve your search accuracy, you can use natural language queries instead of using technical jargon.

(374) Hayakawa's work on the structure of language has helped to develop new technologies for natural language processing.

(375) Lexicons are essential for natural language generation systems to produce coherent and contextually appropriate text.

(376) The artificial language developed by the team of linguists is being used in the field of natural language processing.

(377) The grads array is being used to generate a natural language processing model to analyze the resumes of the graduates.

(378) Supervised learning is widely used in various applications, such as image recognition and natural language processing.

(379) The future of natural language processing holds great potential for further advancements in human-computer interaction.

(380) The study of hyponymy has practical applications in fields such as natural language processing and information retrieval.

(381) Lexical analysis is an important part of natural language processing, as it helps identify the meaning of words and phrases.

(382) Passing the turing test would require a machine to have the ability to understand natural language and engage in conversation.

(383) The integration of computer vision and natural language processing can enable systems to understand and respond to visual cues.

(384) The term artificial intelligence encompasses a variety of techniques, including natural language processing and computer vision.

(385) The principles of automata theory are applied in the field of natural language processing for language recognition and generation.

(386) The field of cognitive semantics has been influential in the development of natural language processing and artificial intelligence.

(387) Zork was one of the first games to use natural language processing, allowing players to type in commands like open door or take key.

(388) If you want to extract data from unstructured sources, you can use natural language processing queries to recognize patterns in text.

(389) Neuroevolutionary algorithms can be used to train neural networks for tasks such as image recognition and natural language processing.

(390) Her chatbot was more conversational because she used natural language processing queries to understand user intent and respond appropriately.

(391) Coreference resolution is an active area of research in natural language processing, with many different approaches and techniques being developed.

(392) The AI's humanlike voice recognition capabilities made it an ideal virtual assistant, and it could understand and respond to natural language commands.

(393) The principles of quantification theory are used in various areas of artificial intelligence, such as automated reasoning and natural language processing.

(394) Palatalization is just one of many phonetic processes that can occur in natural language, and it can have a significant impact on pronunciation and meaning.

The word usage examples above have been gathered from various sources to reflect current and historical usage of the word Natural Language. They do not represent the opinions of TranslateEN.com.