Words differ in the subcategorisation frames in which they occur, and there is a strong correlation between the semantic arguments of a given word and its subcategorisation frame, so that all its arguments should be included in its subcategorisation frame. One problem is posed by the ambiguity between locative prepositional phrases as arguments of a verb or adjuncts. As the semantics for the ve...

Compound noun has the similar structure to a simple sentence, for example, predicate-argument structure in many cases, as well as it represents compound meaning with several nouns combined. In this paper, we suggest a new method to analyze Korean noun phrases with posessive and compound nouns by using the statistical model based on verb-noun co-occurrence relations and word collocations between...

This paper describes an approach for inferring syntactic frames of verbs in Urdu from an untagged corpus. Urdu, like many other South Asian languages, is a free word order and case-rich language. Separable lexical units mark different constituents for case in phrases and clauses and are called case clitics. There is not always a one to one correspondence between case clitic form and case, and c...

The present work describes a Phrasal Example Based Machine Translation system from English to Bengali that identifies the phrases in the input through a shallow analysis, retrieves the target phrases using a Phrasal Example base and finally combines the target language phrases employing some heuristics based on the phrase ordering rules for Bengali. The paper focuses on the structure of the nou...

In this paper, we present three approaches to automatic ranking of relevant verb phrases extracted from historical text. These approaches are based on conditional probability, log likelihood ratio, and bagof-words classification respectively. The aim of the ranking in our study is to present verb phrases that have a high probability of describing work at the top of the results list, but the met...

Tokenizing a text into a sequence of words is an important process towards text interpretation. This process is required in many applications such as text summarization, semantic search, and machine translation. Instead of splitting into words, recently there have been works on chunking into units which are larger than words. Text chunking is a process to divide a running text into non-overlapp...

In recent years many knowledge bases (KBs) have been constructed, yet there is not yet a verb resource that maps to these growing KB resources. A resource that maps verbs in different languages to KB relations would be useful for extracting facts from text into the KBs, and to aid alignment and integration of knowledge across different KBs and languages. Such a multi-lingual verb resource would...