{"id":1881,"date":"2020-02-02T10:50:16","date_gmt":"2020-02-02T05:20:16","guid":{"rendered":"https:\/\/www.rangakrish.com\/?p=1881"},"modified":"2020-02-02T11:03:02","modified_gmt":"2020-02-02T05:33:02","slug":"verb-conjugations-in-passive-voice","status":"publish","type":"post","link":"https:\/\/www.rangakrish.com\/index.php\/2020\/02\/02\/verb-conjugations-in-passive-voice\/","title":{"rendered":"Verb Conjugations in Passive Voice"},"content":{"rendered":"

In my earlier article<\/strong><\/em><\/a>, I showed how the iLexicon<\/strong><\/em> system can generate verb conjugations based on <Verb, Tense, Person, Number><\/strong><\/em> quadruple. For the 16 tense forms discussed in that article, the verb conjugations were generated in \u201cactive\u201d<\/strong><\/em> voice.\u00a0<\/span><\/p>\n

We all know that \u201ctransitive”<\/strong><\/em> verbs can be expressed in both \u201cactive\u201d<\/strong><\/em> and \u201cpassive\u201d<\/strong><\/em> voice. For example, considering the transitive verb \u201cchase\u201d<\/strong><\/em>, the following are valid sentences:<\/p>\n

The dog chased the cat (active voice)<\/span><\/p>\n

The cat was chased by the dog (passive voice)<\/span><\/p><\/blockquote>\n

Intransitive verbs such as \u201csleep\u201d<\/strong><\/em>, do not have a passive voice. For example, we can only say:<\/p>\n

Peter slept (active voice)<\/span><\/p><\/blockquote>\n

There is no corresponding passive representation.<\/p>\n

Here are the \u201cactive\u201d<\/strong><\/em> voice conjugations of the verb \u201ceat\u201d<\/strong><\/em> for 3rd Person Singular<\/strong><\/em>:<\/p>\n

\"Active<\/a>
Active Voice Conjugations<\/strong><\/figcaption><\/figure>\n

For the same verb, here are the “passive”<\/strong><\/em> voice conjugations for 3rd Person Singular<\/strong> <\/em>case:<\/p>\n

\"Passive<\/a>
Passive Voice Conjugations<\/strong><\/figcaption><\/figure>\n

How does it change if we conjugate for 2nd Person Plural<\/strong> <\/em>case?<\/p>\n

\"Passive<\/a>
Passive Voice – 2nd Person Plural<\/strong><\/figcaption><\/figure>\n

Finally, let us use another verb \u201cdrink\u201d<\/strong><\/em> and generate the conjugations for 3rd Person Singular<\/strong><\/em> case:<\/p>\n

\"Passive<\/a>
Passive Voice Conjugations – “Drink”<\/strong><\/figcaption><\/figure>\n

This example also shows that even though we specify the \u201ccontinuous\u201d<\/strong><\/em> form of the verb \u201cdrink\u201d<\/strong><\/em>,\u00a0 <\/span>the verb conjugator is intelligent enough to take its \u201croot\u201d<\/strong><\/em> form and then emit the 16 possible conjugations of the verb.<\/p>\n

Neat, isn\u2019t it?<\/p>\n

In my next article, I will discuss how iLexicon<\/strong><\/em>\u00a0internally uses these conjugation rules to transform a sentence in active voice to passive voice, and vice versa.<\/p>\n

Have a great week ahead!<\/p>\n","protected":false},"excerpt":{"rendered":"

In my earlier article, I showed how the iLexicon system can generate verb conjugations based on <Verb, Tense, Person, Number> quadruple. For the 16 tense forms discussed in that article, the verb conjugations were generated in \u201cactive\u201d voice.\u00a0 We all know that \u201ctransitive” verbs can be expressed in both \u201cactive\u201d and \u201cpassive\u201d voice. For example, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[107,147],"tags":[228,229,227],"class_list":["post-1881","post","type-post","status-publish","format-standard","hentry","category-natural-language-processing","category-prolog","tag-active-voice","tag-passive-voice","tag-verb-conjugations"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p9OLnF-ul","jetpack-related-posts":[{"id":1757,"url":"https:\/\/www.rangakrish.com\/index.php\/2019\/10\/13\/conjugating-phrasal-verbs\/","url_meta":{"origin":1881,"position":0},"title":"Conjugating Phrasal Verbs","author":"admin","date":"October 13, 2019","format":false,"excerpt":"In the last article, I showed how to generate verb conjugations in the \"iLexicon\" system. Today, let us see how this idea can be extended to English \"phrasal verbs\". According to Wikipedia: \"a phrasal verb is a phrase such as turn down or ran into which combines two or three\u2026","rel":"","context":"In "Natural Language Processing"","block_context":{"text":"Natural Language Processing","link":"https:\/\/www.rangakrish.com\/index.php\/category\/natural-language-processing\/"},"img":{"alt_text":"Conjugation of \"Turn on\"","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2019\/10\/Example3.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1741,"url":"https:\/\/www.rangakrish.com\/index.php\/2019\/09\/29\/generating-verb-conjugations\/","url_meta":{"origin":1881,"position":1},"title":"Generating Verb Conjugations","author":"admin","date":"September 29, 2019","format":false,"excerpt":"We have been taught in school that English language has different \u201ctense\u201d forms. To help you quickly recollect, I am listing them in the table below (the verb 'sleep' is used as example): No. Tense Form Example Sentence (3rd Person Singular Pronoun) 1 Simple Present She sleeps 2 Simple Past\u2026","rel":"","context":"In "Natural Language Processing"","block_context":{"text":"Natural Language Processing","link":"https:\/\/www.rangakrish.com\/index.php\/category\/natural-language-processing\/"},"img":{"alt_text":"Full Conjugation - Example3","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2019\/09\/example3.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1889,"url":"https:\/\/www.rangakrish.com\/index.php\/2020\/02\/16\/automatically-converting-active-voice-to-passive-voice-and-vice-versa\/","url_meta":{"origin":1881,"position":2},"title":"Automatically Converting Active Voice to Passive Voice and Vice Versa","author":"admin","date":"February 16, 2020","format":false,"excerpt":"The iLexicon system can handle active\/passive voice conversion of fairly complex English sentences. I gave examples of the underlying verb conjugation mechanism in this article\u00a0and this one. Today, I am going to give examples of the conversion of complete sentences. Here is an example of active to passive voice conversion:\u2026","rel":"","context":"In "Natural Language Processing"","block_context":{"text":"Natural Language Processing","link":"https:\/\/www.rangakrish.com\/index.php\/category\/natural-language-processing\/"},"img":{"alt_text":"The Core Conversion Logic","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2020\/02\/Code.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2020\/02\/Code.jpg?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2020\/02\/Code.jpg?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2020\/02\/Code.jpg?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":2415,"url":"https:\/\/www.rangakrish.com\/index.php\/2021\/05\/23\/the-structure-of-wh-questions\/","url_meta":{"origin":1881,"position":3},"title":"The Structure of WH-Questions","author":"admin","date":"May 23, 2021","format":false,"excerpt":"WH-Questions are questions that begin with the following words: - Who (\u201cWho came here yesterday?\u201d) - What (\u201cWhat is the goal of this project?\u201d) - When (\u201cWhen can I visit my parents?\u201d) - Where (\u201cWhere did he go?\u201d) - Why (\u201cWhy is everyone running away?\u201d) - Which (\u201cWhich is the\u2026","rel":"","context":"In "Natural Language Processing"","block_context":{"text":"Natural Language Processing","link":"https:\/\/www.rangakrish.com\/index.php\/category\/natural-language-processing\/"},"img":{"alt_text":"WH-Questions Structure","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2021\/05\/WH-structure-300x238.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1792,"url":"https:\/\/www.rangakrish.com\/index.php\/2019\/11\/23\/using-augmented-transition-networks-atn-for-information-extraction\/","url_meta":{"origin":1881,"position":4},"title":"Using Augmented Transition Networks (ATN) for Information Extraction","author":"admin","date":"November 23, 2019","format":false,"excerpt":"After Wood\u2019s paper [1], Augmented Transition Networks\u00a0(ATN) became popular in the 1970s, for parsing text. An ATN is a generalized transition network with two major enhancements: Support for recursive transitions, including jumping to other ATNs Performing arbitrary actions when edges are traversed Remembering state through the use of registers See\u2026","rel":"","context":"In "LISP"","block_context":{"text":"LISP","link":"https:\/\/www.rangakrish.com\/index.php\/category\/lisp\/"},"img":{"alt_text":"ATN for Modality","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2019\/11\/modality.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2019\/11\/modality.jpg?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2019\/11\/modality.jpg?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":541,"url":"https:\/\/www.rangakrish.com\/index.php\/2017\/06\/04\/definite-clause-grammars-in-lisp-part-2\/","url_meta":{"origin":1881,"position":5},"title":"Definite Clause Grammars in Lisp – Part 2","author":"admin","date":"June 4, 2017","format":false,"excerpt":"In the last post, I showed how we can implement DCGs in LispWorks using the KnowledgeWorks package. The grammar discussed in that post did not take into account subject\/predicate number agreement. This is one of the basic constraints in English grammar. 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