sfu-natlang/smt-xtract
Python code for phrase extraction and different types of SCFG rule extraction from word aligned parallel data.
Discovered public repositories for sfu-natlang in the GitHub catalog.
Python code for phrase extraction and different types of SCFG rule extraction from word aligned parallel data.
Code for multi-lingual alignment using HMMs
Left to right decoding for Hiero Statistical Machine Translation
Visualize bilingual word embeddings.
website for the SFU natural language lab
This repository provides codes required for testing hadoop functionality.
Graph propagation for statistical machine translation
NLTK Data
Use Vickrey-Koller simplification rules for semantic role labeling
Tree-adjoining grammar based statistical dependency parser using a general linear model (glm).
Korean grammar in the Tree Adjoining Grammar framework developed as part of the XTAG project at UPenn.
NLTK Source
Moses, the machine translation system
The XTAG English Grammar mirrored from the XTAG page http://www.cis.upenn.edu/~xtag/
Alignment with word segmentation (e.g. Chinese-English) or morph segmentation (e.g. Korean-English)
Python code to read, display and parse with the XTAG English (and other) grammars as part of the NLTK project.
Lensing Wikipedia is an interface to visually browse through human history as represented in Wikipedia. This the source code that runs the website:
Hierarchical phrase-based machine translation system
Implementation of the Yarowsky algorithm and other bootstrapping algorithms.