B y corpus analyses, about seventy-five percent of Chinese sentences are composed of more than two sentence segments separated by commas or semicolons. A segment may be a sentence, a noun phrase, a verb phrase, an adjective phrase, an adverbial phrase, or a prepositional phrase. An N P segment may serve as a subject of the next segment or an object of the previous segment. The empty category pr...

Infants can use statistical regularities to form rudimentary word categories (e.g. noun, verb), and to learn the meanings common to words from those categories. Using an artificial language methodology, we probed the mechanisms by which two types of statistical cues (distributional and phonological regularities) affect word learning. Because linking distributional cues vs. phonological informat...

Abstract This paper investigates the production of Persian–English bilingual compound verbs (BCVs) type [VERB+VERB]. In this code-switched structure, a lexical verb from donor language English is combined with light native Persian. We tested hypothesis that in BCVs occupy nominal slots monolingual Persian complex predicates [NOMINAL+VERB]. Two methodologies were used. A conversational-corpus an...

Nominalizations in German Support Verb Constructions Angelika Storrer TU Dortmund ___________________________________________________________________________ Support verb constructions (SVC), such as to take a risk or to set into motion, are composed of a support verb (SV, e.g. take, set) and a predicative noun (PredN, e.g. risk, motion), which is – in most cases – a nominalization of a verb or...

According to Li & Thompson (1981), Chinese serial verb constructions consisting of two verb phrases denoting two separate events can be classified into those having alternating, consecutive, purpose or circumstance relations. These classifications may overlap and a serial verb construction may be ambiguous between different interpretations. It has been argued in a recent study (Chan 1996) that ...

Recent developments in language modeling have enabled large text encoders to derive a wealth of linguistic information from raw corpora without supervision. Their success across natural processing (NLP) tasks has called into question the role man-made computational resources, such as verb lexicons, supporting modern NLP. Still, probing analyses concurrently exposed limitations knowledge possess...

The aim of this paper is to describe a new method for the automatic resolution of lexical ambiguity of verbs in English texts, based on the idea of semantic similarity between nouns using WordNet. 1 An outline of our approach. The method of WSD proposed in this paper is based on knowledge and consists basically of sense-disambiguating of the verb that appear in an English sentence. A simple sen...

Main verb identification is the task of automatically identifying the predicate-verb in a sentence. It is useful for many applications in Chinese Natural Language Processing. Although most studies have focused on the model used to identify the main verb, the definition of the main verb should not be overlooked. In our specification design, we have found many complicated issues that still need t...