The Enriched TreeTagger System
|
|
|
- Albert Cox
- 6 years ago
- Views:
Transcription
1 The Enriched TreeTagger System H. Schmid, M. Baroni, E. Zanchetta, A. Stein Universities of Stuttgart, Trento and Bologna (Forlì) Evalita Workshop Roma - September 10, 2007 H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 1/ 17
2 Overview H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 2/ 17
3 Overview H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 3/ 17
4 H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 4/ 17
5 Developed at the University of Stuttgart over a decade ago by Helmut Schmid H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 4/ 17
6 Developed at the University of Stuttgart over a decade ago by Helmut Schmid Is Markov Model based H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 4/ 17
7 Developed at the University of Stuttgart over a decade ago by Helmut Schmid Is Markov Model based Publically available ( corplex/treetagger) H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 4/ 17
8 Developed at the University of Stuttgart over a decade ago by Helmut Schmid Is Markov Model based Publically available ( corplex/treetagger) Supports multiple languages (Bulgarian, Dutch, English, (old) French, German, Italian, Spanish, Russian) H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 4/ 17
9 Developed at the University of Stuttgart over a decade ago by Helmut Schmid Is Markov Model based Publically available ( corplex/treetagger) Supports multiple languages (Bulgarian, Dutch, English, (old) French, German, Italian, Spanish, Russian) Rather fast ( tokens/second on a typical laptop) H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 4/ 17
10 Overview H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 5/ 17
11 Morph-it! Developed 4 years ago at the University of Bologna (Forlì) by Marco Baroni and Eros Zanchetta H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 6/ 17
12 Morph-it! Developed 4 years ago at the University of Bologna (Forlì) by Marco Baroni and Eros Zanchetta Freely available (Creative Commons and LGPL) ( H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 6/ 17
13 Morph-it! Developed 4 years ago at the University of Bologna (Forlì) by Marco Baroni and Eros Zanchetta Freely available (Creative Commons and LGPL) ( word forms and lemmas H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 6/ 17
14 Morph-it! Developed 4 years ago at the University of Bologna (Forlì) by Marco Baroni and Eros Zanchetta Freely available (Creative Commons and LGPL) ( word forms and lemmas Human readable list of word forms with their lemma and features H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 6/ 17
15 Morph-it! Form Lemma Features rimpinzeremmo rimpinzare VER:cond+pre+1+p abominevole abominevole ADJ:pos+m+s dabbenaggine dabbenaggine NOUN-F:s ostensibilmente ostensibilmente ADV H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 7/ 17
16 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
17 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) Both corpora were annotated with lemma and POS tags using an earlier version of TreeTagger H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
18 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) Both corpora were annotated with lemma and POS tags using an earlier version of TreeTagger methodology: H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
19 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) Both corpora were annotated with lemma and POS tags using an earlier version of TreeTagger methodology: Lemma extraction H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
20 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) Both corpora were annotated with lemma and POS tags using an earlier version of TreeTagger methodology: Lemma extraction Generation of inflected forms H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
21 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) Both corpora were annotated with lemma and POS tags using an earlier version of TreeTagger methodology: Lemma extraction Generation of inflected forms Manual checking H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
22 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) Both corpora were annotated with lemma and POS tags using an earlier version of TreeTagger methodology: Lemma extraction Generation of inflected forms Manual checking Manual compilation of exception lists H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
23 Morph-it! built using Repubblica, a large corpus (380 million tokens) of newspaper Italian and a 25-million-tokens web corpus created using the BootCat tools (seed words were extracted from Repubblica ) Both corpora were annotated with lemma and POS tags using an earlier version of TreeTagger methodology: Lemma extraction Generation of inflected forms Manual checking Manual compilation of exception lists Different methods for the different categories we identified: verbs, adjectives, nouns, adverbs and function words H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 8/ 17
24 Overview H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 9/ 17
25 POS Guesser: 157 classes of words were manually developed. Each class is defined by a regular expression. The probability of some tag t given an unknown word of class c is defined as the average probability of t among the known words of word class c. H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 10/ 17
26 POS Guesser: 157 classes of words were manually developed. Each class is defined by a regular expression. The probability of some tag t given an unknown word of class c is defined as the average probability of t among the known words of word class c. DISTRIB: the model for this tagset uses an internal tagset created amalgamating the DISTRIB and EAGLES tagsets. The training set was automatically generated from the EAGLES and DISTRIB versions. A simple Perl script then maps the output to the DISTRIB tagset H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 10/ 17
27 EAGLES: internally assigned special tags to the adverb non and the subordinating conjunction che H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 11/ 17
28 EAGLES: internally assigned special tags to the adverb non and the subordinating conjunction che EAGLES: post processing rules developed by studying the errors made by the TT H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 11/ 17
29 : post processing rules se + ne personal pronoun H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
30 : post processing rules se + ne personal pronoun se + verb subordinating conjunction H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
31 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
32 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
33 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) lo in lo stesso article H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
34 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) lo in lo stesso article time expressions + fa adverb H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
35 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) lo in lo stesso article time expressions + fa adverb upper case Di/D + proper name proper name H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
36 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) lo in lo stesso article time expressions + fa adverb upper case Di/D + proper name proper name upper case Chi relative pronoun (sometimes wrong but more often right) H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
37 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) lo in lo stesso article time expressions + fa adverb upper case Di/D + proper name proper name upper case Chi relative pronoun (sometimes wrong but more often right) senza + verb conjunction H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
38 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) lo in lo stesso article time expressions + fa adverb upper case Di/D + proper name proper name upper case Chi relative pronoun (sometimes wrong but more often right) senza + verb conjunction ieri + preposition or altro noun H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
39 : post processing rules se + ne personal pronoun se + verb subordinating conjunction ci + essere adverb l /lo/la/li/le + verb pronoun (and not an article) lo in lo stesso article time expressions + fa adverb upper case Di/D + proper name proper name upper case Chi relative pronoun (sometimes wrong but more often right) senza + verb conjunction ieri + preposition or altro noun più + noun adjective H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 12/ 17
40 Overview H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 13/ 17
41 Configuration EAGLES DISTRIB TT TT + RegExpGuess TT + ExtLex TT + RegExpGuess + ExtLex TT + RegExpGuess + ExtLex + Rules NA Table: Test set percentage accuracy of TreeTagger in various configurations (highest accuracies are those of TT + RegExpGuess + ExtLex + Rules submitted to EVALITA) H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 14/ 17
42 Overview H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 15/ 17
43 H. Schmid. Probabilistic part-of-speech tagging using decision trees. Proceedings of the International Conference on New Methods in Language Processing, H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 16/ 17
44 H. Schmid. Probabilistic part-of-speech tagging using decision trees. Proceedings of the International Conference on New Methods in Language Processing, H. Schmid. improvements in part-of-speech tagging with and application to German. Proceedings of the ACL SIGDAT-Workshop, H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 16/ 17
45 H. Schmid. Probabilistic part-of-speech tagging using decision trees. Proceedings of the International Conference on New Methods in Language Processing, H. Schmid. improvements in part-of-speech tagging with and application to German. Proceedings of the ACL SIGDAT-Workshop, E. Zanchetta, and M. Baroni. Morph-it! A free corpus-based morphological resource for the Italian language. Proceedings of Corpus Linguistics 2005, H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 16/ 17
46 Links TreeTagger TreeTagger Morph-it! H. Schmid, M. Baroni, E. Zanchetta, A. Stein The Enriched TreeTagger System 17/ 17
Part of Speech Tagging & Hidden Markov Models (Part 1) Mitch Marcus CIS 421/521
Part of Speech Tagging & Hidden Markov Models (Part 1) Mitch Marcus CIS 421/521 NLP Task I Determining Part of Speech Tags Given a text, assign each token its correct part of speech (POS) tag, given its
Exploring the Political Agenda of the Greek Parliament Plenary Sessions
Exploring the Political Agenda of the Greek Parliament Plenary Sessions Dimitris Gkoumas, Maria Pontiki, Konstantina Papanikolaou, and Haris Papageorgiou ATHENA Research & Innovation Centre/Institute for
Lecture 4: n-grams in NLP. LING 1330/2330: Introduction to Computational Linguistics Na-Rae Han
Lecture 4: n-grams in NLP LING 1330/2330: Introduction to Computational Linguistics Na-Rae Han Objectives Frequent n-grams in English n-grams and statistical NLP n-grams and conditional probability Large
Study Singular They in Contemporary English. Bich Ngoc Do
Study Singular They in Contemporary English Bich Ngoc Do Content 1. Introduction 2. Similar Works 3. Data Collection 4. Statistical Analysis 5. Conclusion 1. Introduction Gender in English O Male-oriented
HORIZON HIGH SCHOOL- English Composition, Grammar and Poetry
HORIZON HIGH SCHOOL- English Composition, Grammar and Poetry Materials Creating Poetry, John Drury A Poetry Handbook, Mary Oliver English Warriner, John E. Various Poems drawn from many sources Weeks 1
Latest trends in sentiment analysis - A survey
Latest trends in sentiment analysis - A survey Anju Rose G Punneliparambil PG Scholar Department of Computer Science & Engineering Govt. Engineering College, Thrissur, India anjurose.ar@gmail.com Abstract
Battling Grammar Rule book Version 3.1
Battling Grammar Rule book Version 3.1 Introduction This is a game designed to be used in the classroom to help children to develop and practise their knowledge of grammatical terminology. This is primarily
EPISODE 21: WATCHING BIRDS. Hello, I m Margot Politis. Welcome to Study English, IELTS preparation.
TRANSCRIPT EPISODE 21: WATCHING BIRDS Hello, I m Margot Politis. Welcome to Study English, IELTS preparation. Today we re going to look at the continuous tense, and then we re going to practice some sentence
Some notes on Constituency Tests
Some notes on Constituency ests Alan Munn February 25, 2006 Here are some notes on tests for constituency. Remember t best test t something a constituent substitution. Here are some common substitutions
ABHINAV BHARATI HIGH SCHOOL SYLLABUS FOR ACADEMIC SESSION Class VI
Social Science Term I History 1. History When, where and How 2. The Lives of the Hunter Gathers 3. Early Cities in the Indian Subcontinent 4. The Vedic Age. Geography 1. Earth as Part of the Solar System
End-Of-Unit Assessment Student Booklet for Adjectives Student Booklet for Adverbs Student Booklet for Prepositions
For Scoring Purposes Only Booklet Number: - Please print scorer ID Dr. C. S. Sadek Absent (Circle): Day 1 Day 2 Day 3 Scorer 2 Accommodations: Dictated Response Scorer 3 More Time: min. Other End-Of-Unit
I Can Common Core! 1st Grade Math. I Can Use Addition and Subtraction to Help Me Understand Math
I Can Common Core! 1st Grade Math I Can Use Addition and Subtraction to Help Me Understand Math I can use strategies to solve addition word problems. 1.OA.1 I can use strategies to solve subtraction word
Treebanks. LING 5200 Computational Corpus Linguistics Nianwen Xue
Treebanks LING 5200 Computational Corpus Linguistics Nianwen Xue 1 Outline Intuitions and tests for constituent structure Representing constituent structures Continuous constituents Discontinuous constituents
Student name: Class: Date:
Writing a procedure Write about the goal. Write what the goal of the procedure is. This should be a short and simple sentence. List the materials and equipment. List everything you need to do the procedure.
Curso de sensibilización a la PAEP (Prueba de Admisión a Estudios de Posgrado)
Past Tense By Gabriela Ulloa Use The past tense is used to express actions that were finished at a specific moment in the past. Example: John checked out a book from the library last week. Leslie worked
JocondeLab. DGLFLF Brigitte TRAN. Délégation générale à la langue française et aux langues de France
JocondeLab DGLFLF Brigitte TRAN Background My name is Brigitte TRAN and I work at the French Ministry of Culture and Communication. I am the project manager, specially in charge with digital project in
Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 9, NO. 1, Jan. 2015 407 Copyright 2015 KSII Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method Sungho Shin 1, 2,
SUBJECT PERIODIC ASSESSMENT-1 Half-Yearly
SUBJECT PERIODIC ASSESSMENT-1 Half-Yearly ENGLISH Literature TERM-I Ch.1. Harry Potter Learns Quidditch Ch.2. The Palanquin Bearers Ch.3. Ranji s Wonderful Bat Ch.5. I Remember, I Remember The sentences
Social media corpora, datasets and tools: An overview
Social media corpora, datasets and tools: An overview Darja Fišer Director for User Involvement CLARIN ERIC Darja.Fiser@ff.uni-lj.si Jakob Lenardič Assistant to Director for User Involvement CLARIN ERIC
Contents. No. Topic Name Page No. Unit One. 1 What a Bird Thought 1. 2 Daydreams 4. 3 Be a Good Listener Strawberries The Twelve Months 16
Contents No. Topic Name Page No. Unit One 1 What a Bird Thought 1 2 Daydreams 4 3 Be a Good Listener 10 4 Strawberries 14 5 The Twelve Months 16 6 Announcements 23 7 Major Dhyan Chand 28 8 Peer Profile
ENG005 Grammar Punctuation. Text: English 2600 (Sixth Edition) by Joseph Blumenthal COURSE OUTLINE
WEEK 1: Tests 1 & 2 UNIT 1 The Verb and its Subject pp. 1-63 (Frames 1-32) pp. 65-127 (Frames 33-64) pp. 129-189 (Frames 65-95) pp. 191-255 (Frames 96-128) pp. 257-325 (Frames 129-163) pp. 327-383 (Frames
E-BOOK // OF COUNTABLE AND UNCOUNTABLE NOUNS USER GUIDE
09 March, 2018 E-BOOK // OF COUNTABLE AND UNCOUNTABLE NOUNS USER GUIDE Document Filetype: PDF 253.22 KB 0 E-BOOK // OF COUNTABLE AND UNCOUNTABLE NOUNS USER GUIDE If you found this grammar guide about Countable
COURSE UNITS TAUGHT IN ENGLISH :: UNIVERSITY OF COIMBRA :: ACADEMIC YEAR 2009/2010
COURSE UNITS TAUGHT IN ENGLISH :: UNIVERSITY OF COIMBRA :: ACADEMIC YEAR 2009/2010 :: The majority of course units are conducted in Portuguese. Modern Language and Literature studies are usually medium-taught
International Nuclear Information System (INIS)
Technical Meeting on Topical Issues of Infrastructure Development: Nuclear Power Project Development in Emerging Nuclear Power States Vienna, Austria, 11-14 February 2013 International Nuclear Information
I Can Read. (Reading Foundational Skills) I can read words by using what I know about letters and sounds.
1 I Can Read (Reading Foundational Skills) I can read words by using what I know about letters and sounds. I can show what I have learned about letters and sounds by figuring out words. I can find and
DON BOSCO SCHOOL MONTHWISE SYLLABUS CLASS 6 SUB: ENGLISH
SUB: ENGLISH MONTH GRAMMAR LITERATURE COMPOSITION April 1.FindGin g Words (Rev in the 1. Adventure Writing class) i. Just Shoot! Messages 2.Parts of Speech (Rev in the ii. day! class) 3.Sentences 4.Elements
CONTENTS. iii. SECTION 1 Painting Brush Strokes... #
CONTENTS SECTION 1 Painting Brush Strokes....................... # The Five Basic Brush Strokes............................. # Absolute Brush Strokes............................. # Appositive Brush Strokes............................
7. Come along with us if you want an ice-cream cone.
Name: Date: Identify the word modified by the appositive or appositive phrase in each sentence. 1. My dad loaned a rake to our neighbor, Ms. Wright. A. Ms. Wright B. loaned C. neighbor 2. The speaker at
EACL th Conference of the European Chapter of the Association for Computational Linguistics
EACL 2014 14th Conference of the European Chapter of the Association for Computational Linguistics Proceedings of the 9th Web as Corpus Workshop (WaC-9) April 26, 2014 Gothenburg, Sweden c 2014 The Association
Language, Context and Location
Language, Context and Location Svenja Adolphs Language and Context Everyday communication has evolved rapidly over the past decade with an increase in the use of digital devices. Techniques for capturing
Kindergarten I Can Standards. Graphics by Coffee, Kids and Compulsive lists at
Kindergarten I Can Standards Graphics by Coffee, Kids and Compulsive lists at http://coffeekidsandcompulsivelists.blogspot.com.au/ I Can Use Proper English When I Write and Speak L.K. I can print many
GETTING STARTED. Features. LCD Marks and Their Meanings
Features English-Chinese and Chinese-English dictionaries with a total of 430,000 words English explanatory dictionary of 12,000 words TOEFL dictionary of 5,000 words Voice function in English A selection
Introduction. Description of the Project. Debopam Das
Computational Analysis of Text Sentiment: A Report on Extracting Contextual Information about the Occurrence of Discourse Markers Debopam Das Introduction This report documents a particular task performed
This skills covered in this unit will help prepare students for the AQA English Language exam Paper 1: Sections A & B
The KING S Medium Term Plan ENGLISH Y9 LC4 Programme 2015-2016 Module Dystopia Building on prior learning In this unit, students will learn about the dystopian genre. They will explore a number of great
Scope and Sequence 1 WRITING ABOUT YOURSELF 2 WRITING ABOUT YOUR FAMILY AND FRIENDS 3 WRITING ABOUT YOUR ACTIVITIES. iv Scope and Sequence
FOURTH EDITION Scope and Sequence Chapter Grammar for Writing Paragraph Pointers Writing Activities Real-life Writing 1 ABOUT YOURSELF about yourself or someone you know Complete a student information
Original Script Cataloging at the Library of Congress: Past, Present, and Future
Original Script Cataloging at the Library of Congress: Past, Present, and Future Presentation at the 2017 Conference of the Middle East Librarians Association November 17, 2017 Randall K. Barry Library
COMMERCIAL DATA SHEET
COMMERCIAL DATA SHEET Distribution: All Clients Document number: 1 Version: 1.0 Release Date: 2017-11-15 1 INTRODUCTION Lucky Links is a 5 reel 4 row game with 20 lines Win Both Ways, stacked symbols,
Launching Reading Workshop with Literary Nonfiction / Writing Workshop / Citizenship. L2: Reading Resolutions & L3: Library Routines
5 th Grade,, & 1ST NINE WEEKS Launching with Literary Nonfiction / / Citizenship L1: Reflecting on Our Lives L2: Resolutions & L3: Library Routines L4: Reader s Notebook & S5: Fluency (IRL) L8 & 9: Read
A Comparison of Chinese Parsers for Stanford Dependencies
A Comparison of Chinese Parsers for Stanford Dependencies Wanxiang Che, Valentin I. Spitkovsky and Ting Liu Harbin Institute of Technology Stanford University ACL 2012 July 11, 2012 Che, Spitkovsky, and
Mining and Estimating Users Opinion Strength in Forum Texts Regarding Governmental Decisions
Mining and Estimating Users Opinion Strength in Forum Texts Regarding Governmental Decisions George Stylios 1, Dimitrios Tsolis 2, and Dimitrios Christodoulakis 2 1 Technical Educational Institute of Ionian
Contents. viii. Introduction: What This Book Will Do for You NARRATION
iii Introduction: What This Book Will Do for You viii NARRATION xii Unit 1 Dramatic Monologue: My Last Duchess by Robert Browning, To a Sad Daughter by Michael Ondaatje, Changes by D. Ginette Clarke 2
Writing Lesson for Art Students Grades 4 and 5 Haiku in Clay Paul Guider, Shady Grove Elementary Henrico County
Writing Lesson for Art Students Grades 4 and 5 Haiku in Clay Paul Guider, Shady Grove Elementary Henrico County Objectives / Overview Explore Japanese art that describes the qualities of nature. Examine
Introduce yourself! VOCABULARY. LEVEL NUMBER LANGUAGE Beginner A1_1011V_EN English. 1
Introduce yourself! VOCABULARY LEVEL NUMBER LANGUAGE Beginner A1_1011V_EN English www.lingoda.com 1 Goals Practice introducing yourself Learn vocabulary and phrases to introduce yourself www.english-maestro.mn
Automated Generation of Timestamped Patent Abstracts at Scale to Outsmart Patent-Trolls
Automated Generation of Timestamped Patent Abstracts at Scale to Outsmart Patent-Trolls Felix Hamborg, Moustafa Elmaghraby, Corinna Breitinger, Bela Gipp Department of Computer and Information Science
English Curriculum. Beginner Lesson 11
English Curriculum Beginner Lesson 11 1) Reading: What I want to be when I grow up. When I grow up, I want to be a teacher. I want to help other children learn. I want to travel the world and teach people
Technology Competency Descriptors Students will be able to identify, compare, and utilize appropriate technological applications.
Technology Competency Descriptors Students will be able to identify, compare, and utilize appropriate technological Criteria Does Not Meet NA Identifies technological Demonstrates the use of technology
The Moog Center. for Deaf Education. Where Deaf Children Talk South Forty Drive, St. Louis MO 63141
Marble Painting Chose a template, such as a leaf, and put it in a shallow box/edged container. Squirt paint into the corners, throw in some marbles, and move the box around. Watch as the marbles paint
VEGAFLEX 80 two-wire 4 20 ma/hart
VEGAFLEX 80 two-wire 4 20 ma/hart.3.0 2/206 Function extensions New functions and modifications: Bulk solids applications Standard deactivation of the automatic false signal suppression Standard deactivation
Great Writing 1: Great Sentences for Great Paragraphs Peer Editing Sheets
Great Writing 1: Great Sentences for Great Paragraphs Peer Editing Sheets Peer Editing Sheet 1 Unit 1, Activity 26, page 28 1. What country did the writer write about? 2. How many sentences did the writer
population onomastic databases
population onomastic databases Gerrit Bloothooft Universiteit Utrecht / Meertens Instituut KNAW / IISG KNAW VKS 23/9/10 1 names! why are they interesting everyone has a name a name is part of ones identity
GCE A level/as Subjects Recognised for NUI Matriculation Purposes (May 2017)
GCE A level/as Subjects Recognised for NUI Matriculation Purposes (May 2017) Subjects listed below are recognised for the purpose of NUI matriculation (see NUI Matriculation Regulations p.11 and p.15).
Drawing with Chalk Go outside and draw with chalk on the driveway or sidewalk. Make pictures, letters, and shapes.
Drawing with Chalk Go outside and draw with chalk on the driveway or sidewalk. Make pictures, letters, and shapes. TASL Level 1 (single words and word combinations) Draw (verb) blue (adjective) a blue
Digging Deeper, Reaching Further. Module 5: Visualizing Textual Data An Introduction
Digging Deeper, Reaching Further Module 5: Visualizing Textual Data An Introduction In this module we ll Introduce common visualization strategies for text data à Communicate with researchers about their
GCE A level/as Subjects Recognised for NUI Matriculation Purposes (September 2018)
GCE A level/as Subjects Recognised for NUI Matriculation Purposes (September 2018) Subjects listed below are recognised for the purpose of NUI matriculation (see NUI Matriculation Regulations p.11 and
SAMPLE. Script- n-scribe. TRUTH TRAVELER by Brandy Ferrell. Truth, Work, and Redemption through the Ages
Script- n-scribe TRUTH TRAVELER by Brandy Ferrell Truth, Work, and Redemption through the Ages Exploring Empires through Cursive Copywork, Scripture, Poetry, and Art Study HALF-A-HUNDRED ACRE WOOD 2018
Sixth Grade ELA Pacing Guide. Unit and Week Title Genre Target Concepts
Sixth Grade ELA Pacing Guide Unit and Week Title Genre Target Concepts Unit 1, Week 1 Old Yeller Historical Fiction Plot and Setting, Four Types of Sentences, Synonyms, and Reading with Expression, Writing
Ranking the annotators: An agreement study on argumentation structure
Ranking the annotators: An agreement study on argumentation structure Andreas Peldszus Manfred Stede Applied Computational Linguistics, University of Potsdam The 7th Linguistic Annotation Workshop Interoperability
Statistics on Weed Lists at (Note: These are NOT final statistics. These statistics are prior to the return of boxes by Better World Books.
Statistics on Weed Lists at 6-24-2013 (Note: These are NOT final statistics. These statistics are prior to the return of boxes by Better World Books.) To those who have asked for information on the number
Spell Well! Letter Tiles
Spell Well! Selected Spelling Activities For Practice at School or at Home Letter Tiles Use the letter tiles to spell out your spelling words. After you have arranged the letters, check to see that you
Two Bracketing Schemes for the Penn Treebank
Anssi Yli-Jyrä Two Bracketing Schemes for the Penn Treebank Abstract The trees in the Penn Treebank have a standard representation that involves complete balanced bracketing. In this article, an alternative
Stirring Up Sentence Sense!
Stirring Up Sentence Sense! Skill: using parts of speech to construct sentences RONI GRAMMAR Number of players: Materials for each player: copy of page 6 scissors lined paper glue pencil Object of the
MazeQuest: Tales of the Wandering Grammarian
MazeQuest: Tales of the Wandering Grammarian Table of Contents A. Introduction B. Objectives C. Methods Game Play Game Interface D. Tracking E. Teaching Suggestions A. Introduction MazeQuest: Tales of
Green View Public School SYLLABUS PLANNER Session ( ) Class: VII Subject: ENGLISH
Green View Public School SYLLABUS PLANNER Session (2018-19) Class: VII Subject: ENGLISH S N O MONTH 1 April May TEST /EXAM DATE July PT 1 23/07/18 28/07/18 2 August- September 3 October November December
Seventeenth Annual University of Oregon Eugene Luks Programming Competition
Seventeenth Annual University of Oregon Eugene Luks Programming Competition Saturday, April 13, 2013 Problem Contributors Jim Allen David Atkins Gene Luks Chris Wilson Food and prizes provided by Pipeworks
Introduction to Markov Models. Estimating the probability of phrases of words, sentences, etc.
Introduction to Markov Models Estimating the probability of phrases of words, sentences, etc. But first: A few preliminaries on text preprocessing What counts as a word? A tricky question. CIS 421/521
WINONA STATE UNIVERSITY PROPOSAL FOR GENERAL EDUCATION PROGRAM COURSES
WINONA STATE UNIVERSITY PROPOSAL FOR GENERAL EDUCATION PROGRAM COURSES Department _Global Studies & World Languages Date _11/23/13 SPAN 102 Elementary Spanish II 4 Course No. Course Name Credits Prerequisites
3/5/2010. Li8 Lent term, week 8
/5/2010 Michelle Sheehan Michelle.sheehan@ncl.ac.uk Typology of ing forms Properties of the ing-of (gerundial noun) construction Properties of the gerund-participial constructions Categorial status of
Biographical data exploration as a test-bed for a multi-view, multi-method approach in the Digital Humanities
Biographical data exploration as a test-bed for a multi-view, multi-method approach in the Digital Humanities André Blessing, Andrea Glaser and Jonas Kuhn Institute for Natural Language Processing (IMS)
Overview of the Rotary Switch Settings for SMA PV inverter, status 07/2015 SUNNY BOY / SUNNY TRIPOWER
Overview of the Rotary Switch Settings for SMA PV inverter, status 07/2015 SUNNY BOY / SUNNY TRIPOWER 1 Validity This overview contains the valid rotary switch tings for the following SMA inverters: 2000
The Study of Patent Prior Art Retrieval Using Claim Structure and Link Analysis
Association for Information Systems AIS Electronic Library (AISeL) PACIS 2010 Proceedings Pacific Asia Conference on Information Systems (PACIS) 2010 The Study of Patent Prior Art Retrieval Using Claim
I Can Read. (Reading Foundational Skills)
I Can Read (Reading Foundational Skills) I can read words by using what I know about letters and sounds. RF.3.3 I can show what I have learned about letters and sounds by figuring out words. RF.3.3.A I
Using Named Entity Recognition as a Classification Heuristic
Using Named Entity Recognition as a Classification Heuristic Andrea K. Thomer 1 and Nicholas M. Weber 1 1 Center for Informatics Research in Science and Scholarship, Graduate School of Library and Information
A Collaboration with DARCI
A Collaboration with DARCI David Norton, Derrall Heath, Dan Ventura Brigham Young University Computer Science Department Provo, UT 84602 dnorton@byu.edu, dheath@byu.edu, ventura@cs.byu.edu Abstract We
LINGUISHTIK Tournament Rules
2014-2015 (revised June 2014) Page 1 of 13 LINGUISHTIK Tournament Rules 2014-2015 INTRODUCTORY STATEMENT: Every effort will be made to accommodate the physically/sensory impaired student; however, it is
I Can Read. (Reading Foundational Skills) I can read words by using what I know about letters and sounds.
I Can Read (Reading Foundational Skills) I can read words by using what I know about letters and sounds. RF.3.3 I can show what I have learned about letters and sounds by figuring out words. RF.3.3.A I
DREaM Catherine Nygren. DREaM Report April 14, i. Introduction
DREaM Catherine Nygren DREaM Report April 14, 2015 i. Introduction In September of 1666, the Great Fire destroyed four-fifths of the ancient commercial and topographic centre of London within three days.
Applying Text Analytics to the Patent Literature to Gain Competitive Insight
Applying Text Analytics to the Patent Literature to Gain Competitive Insight Gilles Montier, Strategic Account Manager, Life Sciences TEMIS, Paris www.temis.com Lessons Learnt TEMIS has been working with
Using forced alignment and HTML5 media syntax to share speech archive data. John Coleman. Phonetics Laboratory, Oxford
Using forced alignment and HTML5 media syntax to share speech archive data John Coleman Phonetics Laboratory, Oxford Outline Approaches to corpus dissemination The Audio British National Corpus Problem
Review helpfulness as a function of Linguistic Indicators
234 Review helpfulness as a function of Linguistic Indicators Hamad MSI Malik Khalid Iqbal Department of Computer Science Comsats Institute of Information Technology Attock, Pakistan Department of Computer
MLAG LINGUISHTIK Tournament Rules
MLAG LINGUISHTIK Tournament Rules 2017-18 INTRODUCTORY STATEMENT Every effort will be made to accommodate the physically/sensory impaired student; however, it is the responsibility of the student to inform
The Mercenary Writer's Guides: Manuscript Critique and Grammar Rx
The Mercenary Writer's Guides: Manuscript Critique and Grammar Rx Congratulations! Here s what WORKS in this manuscript: Citation Information: Severson, Heather. 2012. The Mercenary 1 Writer's Guides:
Legal Texts Summarization by Exploration of the Thematic structures and Argumentative Roles
Legal Texts Summarization by Exploration of the Thematic structures and Argumentative Roles Atefeh Farzindar and Guy Lapalme RALI, Département d Informatique et recherche opérationnelle Université de Montréal,
Crafting the Classroom
Crafting the Classroom Integrating Visual and Tactile Learning into Core Subjects EDUCATOR RESOURCES BY HOUSTON CENTER FOR CONTEMPORARY CRAFT How to Use Crafting the Classroom Houston Center for Contemporary
Week 2. Week 1. Week 3. Week 4. Using Continental s Jump Start... 4
Using Continental s Jump Start... 4 Week Nouns...5 Properties of Addition and Multiplication...6 Plural Noun Forms...7 Factors and Greatest Common Factor...8 Nouns... 9 Multiples and Least Common Multiple...0
Norwich City Schools French
Topic: Personal Identification and School 1, 2 Enduring Understanding: School schedule Essential Question: How can I communicate essential information about school and myself? Describing words Write a
English: Contemporary Aboriginal Voices, Grade 11, Workplace Expectations
Identity IDV.01 describe influences on Aboriginal identity, as portrayed by Aboriginal writers; Page 1 IDV.02 identify characteristics of identity found in Aboriginal fiction, non-fiction, drama, poetry,
Grade 6 Unit 1: Nonfiction Newspapers and Magazines
Grade 6 Unit 1: Nonfiction Newspapers and Magazines Structural features of newspapers/magazines Parts of a newspaper 5 W s Pyramid news structure Summarizing/paraphrasing Headlines Primary/secondary sources,
Writing Up Your Research
Michael J. Leclerc, CG SM www.mjleclerc.com michael@mjleclerc.com Writing Up Your Research Writing up our research is the best way to preserve our findings for future generations. There are numerous ways
Final activity. Notes for the teacher
Final activity Notes for the teacher This activity aims to give the children an opportunity to demonstrate what they have learnt about the topic through imaginative writing. Each child should assume the
HERITAGE ELEM SCHOOL. Analysis Overview. Collection Information Date of Analysis: 03-Dec :45:35
Analysis Overview Collection Information Date of Analysis: Circulation System: Follett Destiny Data Integrity: Good: 98.92% holdings recognized # of Records: 14393 # of Holdings: 15416 Recognized Call
Lista de lucrari. A. Articole in reviste cu referenti
Lista de lucrari A. Articole in reviste cu referenti Chifu, A., Hristea, F., Mothe, J., Popescu, M., Word sense discrimination in information retrieval: A spectral clustering-based approach. Information
A great book to use if you have a topic theme of explorers or for writing in a different way about a residential visit.
English Teaching Sequences Book List overview for Upper Key Stage 2 Text Yrs5 and 6 Grammar Charles Dickens: scenes from an extraordinary life by Manning and Granstrom This book provides a perfect model
Local Language Computing Policy in Korea
Local Language Computing Policy in Korea Jan. 22-24, 2007. Se Young Park KyungPook National University Contents Ⅰ Background Ⅱ IT Infrastructure Ⅲ R&D Status Ⅳ Relevant Ministries V Policy Initiatives
WORDS: SUFFIXES V-3 SUFFIX MEANING EXAMPLE USED TO FORM NOUNS. -age state, condition, act, quality percentage
Suffixes modify and extend meaning. Suffixes are always at the end of a word. Most of the time, they alter the grammatical function or the part of speech of the original word. EXAMPLE: The word create
RELATIONSHIP BETWEEN TRUST AND ENTRAINMENT IN SPEECH. FA , PI Stefan Benus
RELATIONSHIP BETWEEN TRUST AND ENTRAINMENT IN SPEECH FA9550-15-1-0055, PI Stefan Benus AFOSR Program review, Arlington, June 13-17, 2016 MOTIVATION Background Speech entrainment (adaptation of communicative
I Can Common Core! 2 nd Grade Reading. I Can Read Fiction
I Can Common Core! 2 nd Grade Reading I Can Read Fiction I can tell who, what, where, when, why and how after reading stories. RL.2.1 I can retell a story. RL.2.2 I can tell how characters in a story respond
Workbook Book 1 What are they doing at this time? Plant Magic I wish I were. The Lion and the Mouse (Formative Orals) Sleep is Necessary
THE DADAR PARSEE YOUTHS ASSEMBLY HIGH SCHOOL SYLLABUS 06 07 STD. II FIRST TERM SUBJECT JUNE JULY AUGUST SEPTEMBER OCTOBER ENGLISH PROSE AND POETRY Good, Better, Best From A to Z Mr. Cross Swats a Fly!
How Can I Practice? $20,000 < SALARY < $50, years. 24 More than Total. i. 12 years of education and makes more than $100,000.
774 CHAPTER 6 PROBABILITY MODELS Activities 6.1-6.8 How Can I Practice? 1. The following table displays the annual salaries and years of education for a cross section of the population. Complete the totals
INIS: the world s largest nuclear information system
INIS: the world s largest nuclear information system The International Nuclear Information System (INIS) Established in 1970 A pioneer in nuclear knowledge preservation The first international computerized
CSE - Annual Research Review. From Informal WinWin Agreements to Formalized Requirements
CSE - Annual Research Review From Informal WinWin Agreements to Formalized Requirements Hasan Kitapci hkitapci@cse.usc.edu March 15, 2005 Introduction Overview EasyWinWin Requirements Negotiation and Requirements