نتایج جستجو برای: phrasal verbs pv

تعداد نتایج: 32809  

Journal: :Novosibirsk State Pedagogical University Bulletin 2017

Journal: :Advances in Language and Literary Studies 2018

2007
Stefan Müller

In this paper I want to discuss Goldberg’s claim that phrasal Constructions can be regarded as underspecified statements about dominance and that therefore my claim that she would have to assume 218 Constructions to account for resultative secondary predication in German is wrong. I will discuss earlier HPSG approaches to particle verbs, which are similar to resultatives in many respects. In ad...

2016
Maximilian Köper Sabine Schulte im Walde

This paper provides a binary, token-based classification of German particle verbs (PVs) into literal vs. non-literal usage. A random forest improving standard features (e.g., bagof-words; affective ratings) with PV-specific information and abstraction over common nouns significantly outperforms the majority baseline. In addition, PV-specific classification experiments demonstrate the role of sh...

Journal: :Theory and Practice in Language Studies 2013

Journal: :Brain and language 2010
Bert Cappelle Yury Shtyrov Friedemann Pulvermüller

There is a considerable linguistic debate on whether phrasal verbs (e.g., turn up, break down) are processed as two separate words connected by a syntactic rule or whether they form a single lexical unit. Moreover, views differ on whether meaning (transparency vs. opacity) plays a role in determining their syntactically-connected or lexical status. As linguistic arguments could not settle these...

Journal: :Jurnal Wawasan Pendidikan 2023

Students struggle to learn use phrasal verbs in written English. Books, writings, and social media quotes can all be used as sources. Phrasal are the most common English language. However, students must also understand form of verb order avoid making errors when writing. This study aimed analyze students' narrative texts eleventh grade SMAN 1 Pati was search for types verbs, solutions suggestio...

2012
Yuancheng Tu Dan Roth

In this paper, we investigate a full-fledged supervised machine learning framework for identifying English phrasal verbs in a given context. We concentrate on those that we define as the most confusing phrasal verbs, in the sense that they are the most commonly used ones whose occurrence may correspond either to a true phrasal verb or an alignment of a simple verb with a preposition. We constru...

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