The syntax of registers: Diary subject omission and the privilege of the root

Haegeman, Liliane

doi:10.1016/j.lingua.2013.01.005

Cited by 79 publications

(25 citation statements)

References 21 publications

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“…(for comment ça va 'How's it going') and moi ('me') without the coreferential clitic je ('I') for the moment (cf. Haegeman 1997Haegeman , 2013 Much more intriguing for the 'reduced CP hypothesis' are fronted subject arguments (moi) with or without following adverbial adjuncts and no coreferential clitic subject in its canonical position (see example (17) Except for the moi-structures without coreferential je, the 'reduced CP hypothesis' for Written Subject Omission (WSO) of Haegeman (2013 and this volume) can be fully applied to subject omission in our corpus of French text messages.…”

Section: Discussionmentioning

confidence: 95%

“…Haegeman 1997, Weir 2012b The second explanation for subject drop in abbreviated registers is, unlike the preceding one, truly syntactic in nature and based on specific assumptions concerning the left periphery of sentences. Haegeman (2013and this volume) assumes, following Cardinaletti 2004and Rizzi and Shlonsky (2007, a functional projection SubjP above TP and TP-adjoined adverbials, where canonical sentence subjects are located. This projection is occasionally allowed to be the highest phase head of a sentence, i.e., the root phase (cf.…”

Section: 2mentioning

confidence: 99%

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Subject drop in Swiss French text messages

Stark

Robert-Tissot

2017

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In this paper, we present evidence in favour of a syntactic approach to subject drop in Swiss French text messages. Subject drop in our corpus follows patterns found in various so-called "written abbreviated registers" such as diaries, notes etc.: it occurs at the beginning of main sentences and after preposed adjuncts. Based on a corpus of 1100 text messages, collected in 2009/10 (www.sms4science.ch), we test predictions put forward by two approaches to argument drop in abbreviated registers, i.e. the "Avoid Weak Start" hypothesis by Weir (2012a) and the "Truncated CP hypothesis" by Haegeman (2013). While for our data the first approach cannot be excluded, our results more strongly support the syntactic one, despite the fact that some data, especially preposed strong subject moi without clitic resumption, challenge existing analyses. These data suggest that dropped referential subjects can be analysed as instances of familiar topic drop.

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Section: Discussionmentioning

confidence: 95%

Section: 2mentioning

confidence: 99%

Subject drop in Swiss French text messages

Stark

Robert-Tissot

2017

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“…Using this smaller high-precision set of verbs, we collected tweets from a much larger corpus drawn from 1% sample over the period 2011-2013. One notable feature of the written English in social media is that sentence subjects can be optionally omitted. Subject-drop is a recognized feature of other informal spoken and written registers of English, particularly 'diary dialects' (Thrasher, 1977;Napoli, 1982;Haegeman and Ihsane, 2001;Weir, 2012;Haegeman, 2013;Scott, 2013). Because of the prevalence of subjectless cases we collected two sets of tweets: those matching the first person subject pattern I and those where the verb was tweet initial.…”

Section: Inducing Selectional Preferencesmentioning

confidence: 99%

Predicting Fine-grained Social Roles with Selectional Preferences

Beller

Harman²,

Durme

2014

Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science

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Selectional preferences, the tendencies of predicates to select for certain semantic classes of arguments, have been successfully applied to a number of tasks in computational linguistics including word sense disambiguation, semantic role labeling, relation extraction, and textual inference. Here we leverage the information encoded in selectional preferences to the task of predicting fine-grained categories of authors on the social media platform Twitter. First person uses of verbs that select for a given social role as subject (e.g. I teach ... for teacher) are used to quickly build up binary classifiers for that role.

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Section: Inducing Selectional Preferencesmentioning

confidence: 99%

Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science

Danescu-Niculescu-Mizil¹,

Eisenstein

McKeown³

et al. 2014

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in Baltimore, following the 52nd annual meeting of the ACL. The workshop's goal was to increase the visibility of computational social science-in which automated techniques are applied to massive datasets to answer scientific questions about society-for ACL researchers and to help build connections between language technologists and social scientists.The workshop included six invited talks from researchers who have successfully brought language technologies to computational social science research questions: political scientists Amber Boydstun and Justin Grimmer, social computing expert Ed Chi, sociolinguist Sali Tagliamonte, and computational linguists Lillian Lee and Philip Resnik.Out of twenty submissions of short papers, thirteen were selected by the program committee for poster presentation. These represent an exciting, conversation-provoking range of research projects.The workshop also included a session reporting on a related research competition, the NLP Unshared Task in PoliInformatics. A short overview paper is included in these proceedings.This workshop was supported by grants from Google and the U.S. National Science Foudnation (grant IIS-1433108). These funds enabled the participation of the invited speakers, fourteen graduate students, and three more senior researchers.We thank the invited speakers, program committee members, authors, and participants for sharing time and thoughts on this increasingly important research topic.Cristian Danescu-Niculescu-Mizil, Jacob Eisenstein, Kathy McKeown, and Noah Smith AbstractLouis Armstrong (is said to have) said, "I don't need words -it's all in the phrasing". As someone who does natural-language processing for a living, I'm a big fan of words; but lately, my collaborators and I have been studying aspects of phrasing (in the linguistic, rather than musical sense) that go beyond just the selection of one particular word over another. I'll describe some of these projects in this talk. The issues we'll consider include: Does the way in which something is worded in and of itself have an effect on whether it is remembered or attracts attention, beyond its content or context? Can we characterize how different sides in a debate frame their arguments, in a way that goes beyond specific lexical choice (e.g., "pro-choice" vs. "pro-life")? The settings we'll explore range from movie quotes that achieve cultural prominence; to posts on Facebook, Wikipedia, Twitter, and the arXiv; to framing in public discourse on the inclusion of geneticallymodified organisms in food. AbstractParty brands are central to theories of Congressional action. While previous work assumes that a party's brand-its long run reputation-is a direct consequence of the content of legislation, in this presentation I show how partisans from both parties use public statements to craft their own party's reputation and to undermine their opponents party. The incentive to craft and destroy brands varies across legislators, creating systematic distortions in who contributes to partisan branding efforts, ...

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The syntax of registers: Diary subject omission and the privilege of the root

Cited by 79 publications

References 21 publications

Subject drop in Swiss French text messages

Subject drop in Swiss French text messages

Predicting Fine-grained Social Roles with Selectional Preferences

Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science

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