A Systematic Approach to English to Bangla Sentence Translator

This paper deals with the design and development of an expert sentence translation system. In this translator, the source language is English, and the target language is Bangla. The implemented translation system determines the relationship among different forms of English and Bengali sentences and makes appropriate correspondence between English and Bengali grammar. Here, we have been developing a top-down parsing program. The system incorporates itself with the dictionary and gives the corresponding Bengali meaning. The system performs translation procedure in three steps. The lexical analyzer reads the English sentence, tokenizes into words, and stores information into a stack. The lexical analyzer uses the English to Bangla dictionary and word morphology for finding lexical information. The parser parses the input sentence and identifies the types of it and finds tense, phrase, clauses, etc. The generator generates a Bangla sentence, which is equivalent to the given input English sentence. It uses the output of the lexical analyzer and the parser to make Bengali sentence. This system can translate all kinds of sentences. But the limitation is that it cannot handle semantic and contextual problem

Automatic acquisition of LFG resources for German - as good as it gets

We present data-driven methods for the acquisition of LFG resources from two German treebanks. We discuss problems specific to semi-free word order languages as well as problems arising fromthe data structures determined by the design of the different treebanks. We compare two ways of encoding semi-free word order, as done in the two German treebanks, and argue that the design of the TiGer treebank is more adequate for the acquisition of LFG resources. Furthermore, we describe an architecture for LFG grammar acquisition for German, based on the two German treebanks, and compare our results with a hand-crafted German LFG grammar

DepAnn - An Annotation Tool for Dependency Treebanks

DepAnn is an interactive annotation tool for dependency treebanks, providing both graphical and text-based annotation interfaces. The tool is aimed for semi-automatic creation of treebanks. It aids the manual inspection and correction of automatically created parses, making the annotation process faster and less error-prone. A novel feature of the tool is that it enables the user to view outputs from several parsers as the basis for creating the final tree to be saved to the treebank. DepAnn uses TIGER-XML, an XML-based general encoding format for both, representing the parser outputs and saving the annotated treebank. The tool includes an automatic consistency checker for sentence structures. In addition, the tool enables users to build structures manually, add comments on the annotations, modify the tagsets, and mark sentences for further revision

Using foreign inclusion detection to improve parsing performance

Inclusions from other languages can be a significant source of errors for monolin-gual parsers. We show this for English in-clusions, which are sufficiently frequent to present a problem when parsing German. We describe an annotation-free approach for accurately detecting such inclusions, and de-velop two methods for interfacing this ap-proach with a state-of-the-art parser for Ger-man. An evaluation on the TIGER cor-pus shows that our inclusion entity model achieves a performance gain of 4.3 points in F-score over a baseline of no inclusion de-tection, and even outperforms a parser with access to gold standard part-of-speech tags.