In acquiring word meanings, learners are often confronted by a single word form that is mapped to two or more meanings. For example, long after how to roller-"skate", one may learn that "skate" is also a kind of fish. Such learning of new meanings for familiar words involves two potentially contrasting processes, relative to new form-new meaning learning: 1) Form-based familiarity may facilitat...

Sequential LSTM has been extended to model tree structures, giving competitive results for a number of tasks. Existing methods model constituent trees by bottom-up combinations of constituent nodes, making direct use of input word information only for leaf nodes. This is different from sequential LSTMs, which contain reference to input words for each node. In this paper, we propose a method for...

We present a technique which complements Hidden Markov Models by incorporating some lexicalized states representing syntactically uncommon words. Our approach examines the distribution of transitions, selects the uncommon words, and makes lexicalized states for the words. We performed a part-of-speech tagging experiment on the Brown corpus to evaluate the resultant language model and discovered...

Sequential LSTMs have been extended to model tree structures, giving competitive results for a number of tasks. Existing methods model constituent trees by bottom-up combinations of constituent nodes, making direct use of input word information only for leaf nodes. This is different from sequential LSTMs, which contain references to input words for each node. In this paper, we propose a method ...

Previous work on German parsing has provided confusing and conflicting results concerning the difficulty of the task and whether techniques that are useful for English, such as lexicalization, are effective for German. This paper aims to provide some understanding and solid baseline numbers for the task. We examine the performance of three techniques on three treebanks (Negra, Tiger, and TüBa-D...

 Lexicalization-patterns, the way words are mapped onto concepts, differ from one language      to another. This study investigated the influence of first language (L1) lexicalization patterns on the processing of second language (L2) words in sentential contexts by both less proficient and more proficient Persian learners of English. The focus was on cases where two different senses of a polys...

Ontologies often contain multilingual textual information in annotation properties, such as rdfs:label and rdfs:comment. While the motivation for using such annotation properties is to provide a human readable description of abstract conceptualization of the domain, we notice that the importance of appropriate natural language use and representation is often neglected. The same can be observed ...

Linked Open Data (LOD) is growing rapidly as a source of structured knowledge used in a variety of text processing applications. However, the applications using the LOD need to be able to mediate between the front end user interfaces and LOD. This often requires a natural language interpretation of this structured, linked data. We demonstrate a middle-tier framework that can generate patterns w...

In this squib we explore a strictly derivational explanation for the differences in possible middle voice constructions in Norwegian and Swedish. Whereas Norwegian allows by its lexical s-passive construction as well as a complex adjectival construction to stand in for middle semantics, only the latter option is available in Swedish. We argue that this contrast lies in the lexicalization of for...

There has been a hot debate on the typological status of Mandarin Chinese in Talmyan framework of Verb-framed languages (V-languages) and Satellite-framed Languages(S-languages). However, most previous studies focus on motion events, while other macro-events (Talmy, 2000) receive little attention. The present study aims to investigate event of realization in Mandarin Chinese with experimental m...