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pialign is a package that allows you to create a phrase table and word alignments from an unaligned parallel corpus. It is unlike other unsupervised word alignment tools in that it is able to create a phrase table using a fully statistical model, no heuristics. As a result, it is able to build phrase tables for phrase-based machine translation that achieve competitive results but are only a fracti
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KenLM estimates, filters, and queries language models. Estimation is fast and scalable due to streaming algorithms explained in the paper Scalable Modified Kneser-Ney Language Model Estimation Kenneth Heafield, Ivan Pouzyrevsky, Jonathan H. Clark, and Philipp Koehn. ACL, Sofia, Bulgaria, 4â9 August, 2013. [Paper] [Slides] [BibTeX] Querying is fast and low-memory, as shown in the paper KenLM: Faste
MLTL: æ©æ¢°å¦ç¿ãã³ãã¬ã¼ãã©ã¤ãã©ãª Introduction MLTLæ©æ¢°å¦ç¿ãã³ãã¬ã¼ãã©ã¤ãã©ãªã¯ï¼èªç¶è¨èªå¦çã¸æ©æ¢°å¦ç¿ãå¿ç¨ããç 究ãï¼ããèªç¶è¨èªå¦çã«é©ããæ©æ¢°å¦ç¿ææ³ã®éçºã容æã«ããããï¼YANSæ´»åã®ä¸ã§æ¸ 水伸幸ã¨å®®å°¾ç¥ä»ãä¸å¿ã¨ãã¦ä½ããã C++ ãã³ãã¬ã¼ãã©ã¤ãã©ãªã§ãï¼ç¹ã«ï¼ç³»åæ§é ãæ¨æ§é ãªã©ï¼èªç¶è¨èªã®æ§é ã表ç¾ããã®ã«é©ããæ§é ã«å¯¾ãã¦ï¼æ§ã ãªæ©æ¢°å¦ç¿ã¢ã«ã´ãªãºã ãå©ç¨ã§ããããã«è¨è¨ããã¦ãã¾ãï¼ è¨è¨ã®ç¹å¾´ã¨ãã¦ï¼ãã¼ã¿æ§é ã表ãã¯ã©ã¹ã¨å¦ç¿ã¢ã«ã´ãªãºã ã表ããã³ãã¬ã¼ãã¯ã©ã¹ãåé¢ãï¼ãããã®éãã¤ãªãã¤ã³ã¿ãã§ã¼ã¹ãè¨å®ãããã¨ã§ï¼æ±ç¨æ§ãé«ãã¦ãã¾ãï¼ããã«ããï¼æ°ãã«ãã¼ã¿æ§é ã¯ã©ã¹ãä½æããå ´åã«æ§ã ãªå¦ç¿ã¢ã«ã´ãªãºã ã¨ã®çµã¿åããã容æã«è©¦ããã¨ãã§ãï¼éã«ï¼æ°ããªå¦ç¿ã¢ã«ã´ãªãºã ãå®è£ ããå ´åã«ã¯æ§ã ãªãã¼ã¿æ§é ã¨ã®çµã¿åããã試
About this site This site is dedicated to a machine learning model named "variable-order linear-chain CRFs". I've put some documents and software here. Author Hiroshi Manabe () Documents My thesis (pdf, partly translated into English, originally in Japanese)Its title is "An Efficient Algorithm for Variable-Order Linear-Chain CRFs". Software CRFSuite for variable-order Markov models An implementati
Special Topics in Statistical Natural Language Processing Course#: G22.3033-010 Instructor: Slav Petrov Lecture: Tuesdays 5:00-6:50PM, Room 412 Warren Weaver Hall Office hours: By appointment Announcements: 10/31/10: Assignment 4 is out, due Nov. 16, before class. 10/12/10: Assignment 3 is out, due Oct. 26, before class. 9/27/10: Assignment 2 is out, due Oct. 12, before class. 9/13/10: Assignment
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