jacksonllee.com
Jackson L. Lee - HomepageJackson Lee works on computational linguistics, language acquisition, phonology, and morphology.
http://www.jacksonllee.com/
Jackson Lee works on computational linguistics, language acquisition, phonology, and morphology.
http://www.jacksonllee.com/
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Jackson L. Lee - Homepage | jacksonllee.com Reviews
https://jacksonllee.com
Jackson Lee works on computational linguistics, language acquisition, phonology, and morphology.
jacksonllee.com
Jackson L. Lee - Dissertation
http://www.jacksonllee.com/dissertation.html
Jackson L. Lee. Morphological Paradigms: Computational Structure and Unsupervised Learning. My doctoral research is broadly concerned with morphological paradigms (e.g., jump-jumps-jumping-jumped. Don't miss the visualized results below! Part 1: Stem identification. The first part studies structure within. A morphological paradigm. It focuses on a central question in morphological analysis: given a paradigm, how exactly do we know what the stem is? Part 2: Paradigm similarity. The second part studies str...
Jackson L. Lee - Publications
http://www.jacksonllee.com/publications.html
Jackson L. Lee. Computational learning of morphology. John A. Goldsmith, Jackson L. Lee, and Aris Xanthos. Annual Review of Linguistics. 3, To appear. Article{goldsmith.lee.xanthos.overview, title = {Computational learning of morphology}, author = {John A. Goldsmith and Jackson L. Lee and Aris Xanthos}, journal = {Annual Review of Linguistics}, volume = {3}, year = { To appear} , }. Linguistica 5: Unsupervised Learning of Linguistic Structure. Jackson L. Lee and John A. Goldsmith. In. Techreport{lee....
Jackson L. Lee - Homepage
http://www.jacksonllee.com/index.html
Jackson L. Lee. PhD Student in Linguistics. Expected completion in 2016). Email: jsllee AT uchicago DOT edu. Areas: Computational linguistics, language acquisition, phonology, morphology. My research aims at understanding how linguistic structure can be learned from raw data. Supervised by John Goldsmith, my dissertation research. Focuses on morphological paradigms. My work has led to the active development of open-source tools for computational linguistic research:. I am also here: GitHub. Current: Stud...
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Syntax and semantics — PyLangAcq 0.9dev documentation
http://pylangacq.org/synsem.html
PyLangAcq: Language Acquisition Research in Python. Word frequency and ngrams. Word search and concordance. Discourse and conversational analysis. Previous: Phonetics and phonology. Next: Discourse and conversational analysis. Enter search terms or a module, class or function name. 2015-2016, Jackson L. Lee. Documentation last updated on February 08, 2016. Powered by Sphinx 1.3.3. Alabaster 0.7.7.
Word frequency and ngrams — PyLangAcq 0.9dev documentation
http://pylangacq.org/freq.html
Word frequency and ngrams. The way words combine in natural language data is of great interest in all areas of linguistic research. PyLangAcq provides several handy functionality for word combinatorics. We are often interested in word frequency information and word ngrams:. Counter dict(word: word token count). Counter dict(ngram as a tuple: ngram token count). Both methods return Counter dicts from collections. In the Python standard library. As a result (and as an advantage! To illustrate, we set up a.
Word search and concordance — PyLangAcq 0.9dev documentation
http://pylangacq.org/concord.html
Word search and concordance. Searching can be conveniently done by. List of elements containing. List of sents (rendered as str and aligned for. Both methods have the obligatory parameter. They share the following optional parameters:. 8211; see Child speech versus child directed speech. 8211; see Reader methods. 8211; default: False. If True,. Refers to the lemma given by “mor” in the tagged words. Otherwise,. Refers to the word token string. 8211; default: True. If False,. Can match as a substring.
Library reference — PyLangAcq 0.9dev documentation
http://pylangacq.org/reference.html
8211; one or multiple filenames (absolute-path or relative to the current directory; with or without glob matching patterns). 8211; file encoding; defaults to ‘utf8’. (New in version 0.9). 8212; Reading and parsing CHAT transcripts. 8212; Developmental measures. 8212; Modeling syntax and semantics. 8212; General functions and constants. PyLangAcq: Language Acquisition Research in Python. Word frequency and ngrams. Word search and concordance. Discourse and conversational analysis. Alabaster 0.7.7.
Table of contents — PyLangAcq 0.9dev documentation
http://pylangacq.org/toc.html
Below is the complete navigation tree of this documentation. PyLangAcq: Language Acquisition Research in Python. Technical support, library development, etc. Testing the library installation. Word frequency info, ngrams, search, and concordance. Acquisition by linguistic areas. The CHAT transcription format. Initializing a Reader instance. Adding and removing transcripts in a reader. Child speech versus child directed speech. The representation of “words”. Mean Length of Utterance (MLU).
Discourse and conversational analysis — PyLangAcq 0.9dev documentation
http://pylangacq.org/disca.html
Discourse and conversational analysis. PyLangAcq: Language Acquisition Research in Python. Word frequency and ngrams. Word search and concordance. Discourse and conversational analysis. Previous: Syntax and semantics. Enter search terms or a module, class or function name. 2015-2016, Jackson L. Lee. Documentation last updated on February 08, 2016. Powered by Sphinx 1.3.3. Alabaster 0.7.7.
Lexicon and morphology — PyLangAcq 0.9dev documentation
http://pylangacq.org/lex.html
PyLangAcq: Language Acquisition Research in Python. Word frequency and ngrams. Word search and concordance. Discourse and conversational analysis. Previous: Word search and concordance. Next: Phonetics and phonology. Enter search terms or a module, class or function name. 2015-2016, Jackson L. Lee. Documentation last updated on February 08, 2016. Powered by Sphinx 1.3.3. Alabaster 0.7.7.
Developmental measures — PyLangAcq 0.9dev documentation
http://pylangacq.org/devmeasures.html
Several language developmental measures are implemented in PyLangAcq:. Mean Length of Utterance in morphemes. Mean Length of Utterance in words. Index of Productive Syntax. All these methods have the optional parameter. All these methods take a CHAT transcript file as a working unit and compute an output number for the relevant measure for that file. They can all be applied to a. Instance, and the return object is dict(filename: measure for that file). Mean Length of Utterance (MLU). Word frequency and n...
Phonetics and phonology — PyLangAcq 0.9dev documentation
http://pylangacq.org/phono.html
PyLangAcq: Language Acquisition Research in Python. Word frequency and ngrams. Word search and concordance. Discourse and conversational analysis. Previous: Lexicon and morphology. Next: Syntax and semantics. Enter search terms or a module, class or function name. 2015-2016, Jackson L. Lee. Documentation last updated on February 08, 2016. Powered by Sphinx 1.3.3. Alabaster 0.7.7.
Transcriptions and annotations — PyLangAcq 0.9dev documentation
http://pylangacq.org/transcriptions.html
This page introduces the data methods of. Objects for transcriptions and annotations. For metadata access, see Accessing metadata. For details of the. Class, see The Reader class API. Child speech versus child directed speech. The representation of “words”. If you are running a script on Windows. Be sure to put all your code under the scope of. Module to read data files.). Child speech versus child directed speech. Which accepts a string of a participant code (e.g.,. To get child speech, set. The represe...
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Jackson L. Lee - Homepage
Jackson L. Lee. PhD Student in Linguistics. Expected completion in 2016). Email: jsllee AT uchicago DOT edu. Areas: Computational linguistics, language acquisition, phonology, morphology. My research aims at understanding how linguistic structure can be learned from raw data. Supervised by John Goldsmith, my dissertation research. Focuses on morphological paradigms. My work has led to the active development of open-source tools for computational linguistic research:. I am also here: GitHub. Current: Stud...
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L. Michelle Jackson | Freelancer, Blogger, and Social Media Enthusiast
Freelancer, Blogger, and Social Media Enthusiast. Bringing Virtual Assistance into Your Life. The Shop My Closet Project-My Personal Finance Blog. Welcome to Skipping in The Clouds Virtual Assistance and Social Media Services. August 5, 2015. Welcome to Skipping in The Clouds Virtual Assistance and Social Media Services. Welcome to Skipping in The Clouds Virtual Assistance and Social Media Services. Welcome to Skipping in The Clouds Virtual Assistance and Social Media Services. Blog at WordPress.com.
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