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Two-Stage Bootstrapping for Anaphora Resolution Balaji J, T V Geetha, Ranjani Parthasarathi, Madhan Karky Dept
Two-Stage Bootstrapping for Anaphora Resolution Balaji J, T V Geetha, Ranjani Parthasarathi, Madhan Karky Dept. of CSE & IST, Anna University, Chennai- 600 025 Abstract: In this paper, we propose a two-stage bootstrapping approach to resolve various anaphora representing persons, places, plurals and events in Tamil text. The existing approaches dealt with only single pronoun type and not all anaphora using common approach. Moreover, most of the approaches concentrate on syntax- based algorithms and semantics to some extent. Instead in our approach, we tackle various types of pronouns using a semi-supervised bootstrapping approach with uniform pattern representation and by exploring the semantic features in resolving anaphors. In order to aid the semantics, we use Universal Networking Language (UNL), a deep semantic representation for resolving various types of pronouns. The two stages of our bootstrapping approach consists of identification of anaphora and its set of referring expressions in stage 1 and identification of correct antecedent of a pronoun in stage 2. In our approach two patterns are defined – one for anaphora and other for set of referring expressions. In addition, we introduce triggering tuples, which can be word based semantics or context based semantics, represented in the pattern of both anaphora and referring expressions so as to resolve the ambiguities during the identification of correct antecedent. The performance of our bootstrapping approach gives better results and proved. Keywords: Anaphora resolution, Universal Networking Language, Bootstrapping, Triggering Tuples Proceedings of COLING 2012: Posters, pages 507–516, COLING 2012, Mumbai, December 2012. 507 1. Introduction Anaphora Resolution commonly called Pronoun resolution is a problem of finding references in the previous utterances of a pronoun. -
Get Ready for Cricket Carnival from 21
SUNDAY newstodaynet.com newstodaydaily ntchennai CHENNAI 8 16 DECEMBER ‘‘STMSTM iiss ccloselose ttoo rreality’eality’ u Rajiv Menon speaks about his journey in tinsel town | SANTHOSH MATHEVAN | of Sarvam Thaala Mayam (STM) would pop from a underprivileged family, who wishes up in my heart. Interestingly from there I to master mridangam, and learn it from the hen I had a simple conversation built the plot and its confl ict,’ says the ac- a top maestro, he faces rejection from the with Johnson, a man who runs claimed cinematographer-director Rajiv Carnatic music community as well as from WMridangam repair shop in My- Menon. Starring GV Prakash in the lead, his family. Music is by A R Rahman. It is lapore, I never thought that the storyline the movie is about a gifted young musician hitting the screens 28 December. Minsara Kanavu was about a few Excerpts from his interview we are having this interaction, do infamous people coming together to you really hear every word of mine form a music band, while in Kandu- so clearly? No, right? If that is the A still from Kanaa kondein Kandukondein, Aishwarya reality, so should be STM, which is all Rai is a singer. Now STM is an out and about sounds and music. out musical entertainer. Tell us about your passion for music. The thought process of your fi lms GGetet rreadyeady fforor ccricketricket I would say it is a genetic connection. and director Bala’s differ complete- Being brought up in a musical family, I have always had a love for music. -
Kadhal Cricket Mp3 Songs Free Download Starmusiq
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Tamil Lyrics Corpus: Analysis and Experiments
Tamil lyrics corpus: Analysis and Experiments Dhivya Chinnappa Praveenraj Dhandapani Thomson Reuters Intellect Design Arena Ltd. [email protected] [email protected] Abstract ernment buildings in Tamil Nadu, India. Polit- ical leaders, orators and even common people In this paper, we present a new Tamil quote Thirukkural excerpts in their daily lives. lyrics corpus extracted from Tamil movies Since the inception of the Tamil movie captured across a range of 65 years (1954 industry in the early 1930s, Tamil literary to 2019). We present a detailed corpus analysis showing the nature of Tamil lyrics works have taken a different form. From the with respect to lyricists and the year which very beginning, Tamil movies used the plat- it was written. We also present similar- form to showcase the language’s rich litera- ity score across different lyricists based ture through movie dialogues and song lyrics. on their song lyrics. We present experi- Tamil literary works as old as Sangam litera- mental results based on the SOTA BERT ture have been depicted in early movies, and Tamil models to identify the lyricists of a the recent movies showcase a mix of old and song. Finally, we present future research directions encouraging researchers to pur- contemporary literary works. Thus, Tamil sue Tamil NLP research. movies have become an inseparable part of most Tamilians’ lives. While independent lit- 1 Introduction erary works (poems, hykoos, novels, etc.) ex- ist, Tamil movies consistently act as impor- Tamil is a classical Dravidian language spoken tant medium in showcasing rich Tamil literary in the states Tamil Nadu and Pondicherry, In- works. -
A Min-Max Algorithm for Viseme to Phoneme Mapping
International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-4, February 2020 Idhazhi: A Min-Max Algorithm for Viseme to Phoneme Mapping Suriyah M., Aarthy Anandan, Madhan Karky Vairamuthu from the actors' performances. Dubbing enables everyone to Abstract: With the advent of language tools, the barrier of understand the audio of the video content and is not language is diffusing fast. Content from one language is distracting too, but the audience do not experience the converted to other languages in different platforms especially in original flavor of emotions conveyed by the voice of the actor. the entertainment industry. In this age, it is essential to increase Subtitling is preferred in circumstances when there is a lack of the naturalness of syncing video and audio content while dubbing. It is a proven fact that a majority of people around the world writers who efficiently translate the dialogues in a language to prefer listening to audio content rather than reading in the another with the lip sync and timing intact. The cost of language known to them. Detecting visemes sequences of words of subtitling is much lesser than that of dubbing. a language in videos and identifying words from another English movies have audience worldwide and their market language matching the detected viseme sequence becomes a can be improved by dubbing them in regional languages. valuable application in this scenario. In this paper we propose Avengers endgame managing to earn Rs.400 crores in less Idhazhi, an algorithm which suggests words as phonemes that than two weeks in India [3] stands proof of the demand for match a particular viseme sequence, in four levels – perfect, these movies across the globe. -
Kadaikutty Singam Collection Report
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