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Owen Rambow

19 paper cards in Mova's library · 1997–2024

Owen Rambow wrote 19 of the papers Mova reads, in 1997–2024, most of them on Part-of-speech tagging, Treebanks, Dependency parsing; often with Nizar Habash, Mona Diab, Yuval Marton.

OpenAlex · ORCID · h-index 46 · 9290 citations · 420 works — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Part-of-speech tagging 5 · Treebanks 4 · Dependency parsing 3 · Machine translation 2

Papers

  1. Training LLMs to Recognize Hedges in Dialogues about Roadrunner Cartoons (2024)
    The authors annotate hedge tokens in 63 spoken retellings of a Roadrunner cartoon (5,508 lines, about a quarter with a hedge; inter-coder kappa 0.985).
  2. Picking Up Where the Linguist Left Off: Mapping Morphology to Phonology through Learning the Residuals (2024)
    The task is to produce the spoken form of Cairene Egyptian Arabic words from their underlying morphological representation, using the Egyptian Colloquial Arabic Lexicon as gold.
  3. Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan (2019)
    The paper releases seven small manually annotated corpora of Arabic dialects (Taizi and Sanaani Yemeni, Najdi, Jordanian, Syrian Damascene, Iraqi Baghdadi, Moroccan Rabati), together over 200,000 words, each about 20,000 to 35,000 words.
  4. Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study (2015)
    Committed belief (CB) is how strongly a writer commits to a proposition. Two corpora label it: the LU corpus (16 documents, four genres, 3-way labels) and FactBank (newswire, about four times larger, factuality labels). The authors map both to a common 4-way scheme: committed belief, non-committed belief…
  5. MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic (2014)
    MADAMIRA merges two older Arabic tools, MADA (morphology and disambiguation) and AMIRA (tokenization, tagging, chunking), into one Java system.
  6. Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features (2013)
    The paper asks which morphological features help dependency parsing of MSA, using CATiB trees and two transition-based parsers (MaltParser and Easy-First).
  7. Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features (2011)
    The authors ask which morphological features help a transition-based parser (MaltParser, eager algorithm, SVM classifiers) on Modern Standard Arabic.
  8. Improving Arabic Dependency Parsing with Lexical and Inflectional Morphological Features (2010)
    Marton, Habash and Rambow test which morphological and lexical features help a transition-based parser (MaltParser) on the Columbia Arabic Treebank (CATiB, converted from PATB part 3, gold segmentation).
  9. Morphological Analysis and Generation of Arabic Nouns: A Morphemic Functional Approach (2010)
    MAGEAD is a morphological analyser and generator for Arabic built as finite-state transducers. It maps a lexeme and feature-value pairs to a surface form and back. This paper ports it from verbs to Modern Standard Arabic nominals, which are harder because of broken plurals and irregular feminines. A lexeme is a root…
  10. Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking (2008)
    MADA picks, for each Arabic word, one analysis from the candidates that the BAMA dictionary proposes. It scores each candidate by summing the weights of the features on which the candidate agrees with the model's prediction. The features are 14 morphological tags, each predicted by an SVM, two checks (spelling match…
  11. Arabic Diacritization through Full Morphological Tagging (2007)
    The authors restore diacritics by choosing a whole diacritized analysis for each white-space token, not by labelling characters.
  12. Semi-automatic error analysis for large-scale statistical machine translation (2007)
    The paper relates properties of the input documents to the translation quality of a large SMT system, scored per document by HTER.
  13. MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects (2006)
    MAGEAD is a finite-state morphological analyzer and generator for MSA and for Levantine verbs. A lexeme is a root, a meaning index and a morphological behaviour class; patterns and vocalisms are interdigitated with the root on a multitape machine (Kiraz's approach, with an added tier for orthography), and affixes are…
  14. Parsing Arabic Dialects (2006)
    Levantine Arabic (LA) is spoken, unwritten, and has almost no treebank, while MSA has the Penn Arabic Treebank (about 17,600 training sentences).
  15. Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop (2005)
    Tokenization, POS tagging and morphological disambiguation are handled as one step for undiacritized Arabic.
  16. Morphological Analysis and Generation for Arabic Dialects (2005)
    The paper presents MAGEAD, a finite-state morphological analyzer and generator for Modern Standard Arabic and its dialects.
  17. A Dependency Treebank for English (2002)
    The paper describes the syntactic layer of the ISLE project, a small corpus of about 13,000 words of transcribed travel-agent speech with multiple annotation levels.
  18. Generation of VP Ellipsis: A Corpus-Based Approach (2001)
    The paper asks when a generator should elide a verb phrase and leave an auxiliary in its place, as in "in 1987, only 9% did".
  19. Enriching lexical transfer with cross-linguistic semantic features or how to do interlingua without interlingua (1997)
    The paper proposes lexico-structural transfer as an alternative to an interlingua. The source and target are dependency trees in Meaning-Text Theory's deep syntactic level, and transfer rules relate lexemes together with their syntax. The test case is motion verbs: English "swim across the lake" becomes French…

Co-authors (40)

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