Choosing a Spanish Part-of-Speech tagger for a lexically sensitive task

Unsupervised Learning of a Rule-based Spanish Part of Speech Tagger

Part-of-Speech Tagging for English-Spanish Code-Switched Text

Code-switching is an interesting linguistic phenomenon commonly observed in highly bilingual communities. It consists of mixing languages in the same conversational event. This paper presents results on Part-of-Speech tagging Spanish-English code-switched discourse. We explore different approaches to exploit existing resources for both languages that range from simple heuristics, to language id...

Studying impressive parameters on the performance of Persian probabilistic context free grammar parser

In linguistics, a tree bank is a parsed text corpus that annotates syntactic or semantic sentence structure. The exploitation of tree bank data has been important ever since the first large-scale tree bank, The Penn Treebank, was published. However, although originating in computational linguistics, the value of tree bank is becoming more widely appreciated in linguistics research as a whole. F...

Approaches in MET (Multi-Lingual Entity Task)

BBN and FinCEN participated jointly in the Spanish language task for MET. BBN also participated in Chinese. We also fielded two approaches. The first approach is pattern based and has an architecture as shown in Figure 1. This approach was applied to both Chinese and Spanish. The algorithms (rectangles in the Figure) were used in the two languages; the only component difference was the New Mexi...

Fast Domain Adaptation for Part of Speech Tagging for Dialogues

Part of speech tagging accuracy deteriorates severely when a tagger is used out of domain. We investigate a fast method for domain adaptation, which provides additional in-domain training data from an unannotated data set by applying POS taggers with different biases to the unannotated data set and then choosing the set of sentences on which the taggers agree. We show that we improve the accura...