This paper presents a robust rule-based system of shallow parsing for part-of-speech (PoS) recognition and tagging. Unlike previous work the system uses parsing to tagging based on unsupervised learning methods with no prior knowledge, nor training or pre-tagged corpora. START (System of Textual Analysis Recognition and Tagging) has been evaluated on both French and Greek non-annotated corpora,...

Abstract The goal of this paper is to revisit the so-called aspectual se , frequently cited over last three decades as a new function reflexive pronouns in Spanish and other languages, which refers facultative uses pronoun where it has no effect on valency or diathesis verb. I will focus four empirical problems that such accounts face when dealing with corpus data: requirement delimited object ...

This article presents a developmental pathway for the acquisition of morphosyntactic variation. Although there is abundant evidence that variation pervasive among adults, much less known about how children acquire such The literature thus far indicates development involves first producing only one variable forms (Step 1), both but in mutually-exclusive contexts 2), then some overlapping linguis...

Empirical evidence for statistical learning comes from artificial language tasks, but it is unclear how these effects scale up outside of the lab. The current study turns to a real-world test case of statistical learning where native English speakers encounter the syntactic regularities of Arabic through memorization of the Qur'an. This unique input provides extended exposure to the complexity ...

In this paper we show how a natural language system can learn to find the antecedents of relative pronouns. We use a well-known conceptual clustering system to create a case-based memory that predicts the antecedent of a wh-word given a description of the clause that precedes it. Our automated approach duplicates the performance of hand-coded rules. In addition, it requires only minimal syntact...

In this paper we show how a natural language system can learn to find the antecedents of relative pronouns. We use a well-known conceptual clustering system to create a case-based memory that predicts the antecedent of a wh-word given a description of the clause that precedes it. Our automated approach duplicates the performance of hand-coded rules. In addition, it requires only minimal syntact...

Several researchers have noted the local coherence exhibited by discourse (Sidner 1979; Grosz, Joshi, and Weinstein 1983; Carter 1987; etc.). A primary component of this local coherence is the way the local focus of the discourse shifts from one sentence to the next and the way this shifting is marked by linguistic choices made by the writer/speaker. By local focus, we refer to that concept a s...

Abstract The goal of this paper is to revisit the so-called aspectual se , frequently cited over last three decades as a new function reflexive pronouns in Spanish and other languages, which refers facultative uses pronoun where it has no effect on valency or diathesis verb. I will focus four empirical problems that such accounts face when dealing with corpus data: requirement delimited object ...

We propose an unsupervised Expectation Maximization approach to pronoun resolution. The system learns from a fixed list of potential antecedents for each pronoun. We show that unsupervised learning is possible in this context, as the performance of our system is comparable to supervised methods. Our results indicate that a probabilistic gender/number model, determined automatically from unlabel...