Pushpak Bhattacharyya CSE Dept., IIT Bombay 7 th April, 2011

1. CS460/626 : Natural Language Processing/Speech, NLP and the Web(Lecture 35– Phonetics and phonology; syllabification) Pushpak BhattacharyyaCSE Dept., IIT Bombay 7th April, 2011

2. Motivation for Phonetics and Phonology: Transliteration • Task of converting a word from one alphabetic script to another Used for: • Named entities • : Gandhiji • Out of vocabulary words • : Bank

3. Linguistic issues • Accents : Thoda or thora? • Mapping of sounds • Mahaan: Kahaan: • Back-transliteration

4. x Transliteration process Source String Target String Transliteration Units Transliteration Units

5. Source String Target String Transliteration Units Transliteration Units Phoneme- based

6. Phoneme-based approach Word in Source language Word in Target language P(wt) P( ps | ws) P ( wt | pt ) Pronunciation in Source language Pronunciation In target language P ( pt | ps ) Wt* = argmax (P (wt). P (wt | pt) . P (pt | ps) . P (ps | ws) ) Note:Phoneme is the smallest linguistically distinctive unit of sound.

7. How phonemes play a role Transliterating ‘BAPAT’ B A P A T Source word to phonemes B /ə/ /a:/ P /ə/ /a:/ T t Source phonemes to target phonemes B /ə/ /a:/ P /ə/ /a:/ T t Step II : Converting to phoneme seq. Step III : Converting to target phoneme seq. Step I : Consider each character of the word

8. Issues in phonetic model • Unknown pronunciations • Back-transliteration can be a problem Johnson Jonson sanhita samhita

9. Back to Phonetics

10. Ancient 5 x 5 Indian Classification of Consonants

11. Place of Articulation • Labial: Two lips coming together • [p] as in possum, [b] as in bear • Dental: Tongue against the teeth • [th] of thing or the [dh] of though • Alveolar: Alveolar ridge is the portion of the roof of the mouth just behind the upper teeth; tip of the tongue against the alveolar ridge. • Phones [s], [z], [t], and [d] • Palatal: Roof of the mouth; blade of the tongue against this rising back of the alveolar ridge • sounds [sh] (shrimp), [ch] (china), [zh] (Asian), and [jh] (jar) • Velar: Movable muscular flap at the back of the roof of the mouth; back of the tongue up against the velum • sounds [k] (cuckoo), [g] (goose), and [N] (kingfisher) • Glottal: closing the glottis (by bringing the vocal folds together) • glottal stop [q] (IPA [P]) is made by closing the glotis

12. Manner of Articulation: Stops and Nasals • All consonants are produced by restriction of airflow • Manner of Articulation; how the restriction is produced: • complete or partial stoppage • A stop is a consonant in which airflow is completely blocked for a short time • English has voiced stops like [b], [d], and [g] as well as unvoiced stops like [p], [t], and [k]. • Stops are also called plosives • Nasal sounds [n], [m], and [ng] are made by lowering the velum and allowing air to pass into the nasal cavity

13. Fricatives • Fricatives, airflow is constricted but not cut off completely. The turbulent airflow that results from the constriction produces a characteristic “hissing” sound. • The English labiodental fricatives [f] and [v] are produced by pressing the lower lip against the upper teeth, allowing a restricted airflow between the upper teeth. • The dental fricatives [th] and [dh] allow air to flow around the tongue between the teeth. • The alveolar fricatives [s] and [z] are produced with the tongue against the alveolar ridge, forcing air over the edge of the teeth. • In the palato-alveolar fricatives [sh] and [zh] the tongue is at the back of the alveolar ridge forcing air through a groove formed in the tongue.

14. Affricates, Laterals/Liquids and Taps/Flaps • Affricates are stopsfollowed immediately by fricatives • English [ch] (chicken); Marathi chaa (e.g., gharaachaa; of the house) • Lateral or Liquids: tip of the tongue up against the alveolar ridge or the teeth, with one or both sides of the tongue lowered to allow air to flow over it • [l] (learn) • Tap or flap: quick motion of the tongue against the alveolar ridge • [dx] (IPA [R]) • The consonant in the middle of the word lotus ([l owdx ax s]) is a tap in most dialects of American English • speakers of many UK dialects would use a [t] instead of a tap in this word.

15. Articulation of consonants: Larynx action/glottis state (1/2) • Vocal cords are pulled apart. The air passes freely through the glottis. This is called the voicelessness state and sounds produced with this configuration of the vocal cords are called voiceless: p t k f θ s ʃ tʃ • Vocal cords are pulled close together. • The air passing through the glottis causes the vocal cords to vibrate. This is called the voicing state and sounds produced with this configuration of the vocal cords are called voiced: b d g v ð z ʒ dʒ

16. Articulation of consonants: Larynx action/glottis state (2/2) • Vocal cords are apart at the back and pulled together at the front. This is called the whisper state. • Vocal cords assume the voicing state but are relaxed. This is called the murmur state.

17. Vowels (1/2)

18. Vowels (2/2)

19. IPA symbol for Vowels Courtesy: http://www.antimoon.com/misc/phonchart2008.pdf

20. IPA symbol for consonants Courtesy: http://www.antimoon.com/misc/phonchart2008.pdf

21. Vowels and Tongue Positions

22. Phonology: Syllables

23. Basic of syllables “Syllable is a unit of spoken language consisting of a single uninterrupted sound formed generally by a Vowel and preceded or followed by one or more consonants.” • Vowels are the heart of a syllable (Most Sonorous Element) (svayamraajateitisvaraH) • Consonants act as sounds attached to vowels.

24. Syllable structure • A syllable consists of 3 major parts:- • Onset (C) • Nucleus (V) • Coda (C) • Vowels sit in the Nucleus of a syllable • Consonants may get attached as Onset or Coda. • Basic structure - CV

25. Possible syllable structures • The Nucleus is always present • Onset and Coda may be absent • Possible structures • V • CV • VC • CVC

26. syllable theories • Prominence Theory • E.g. entertaining /entəteɪnɪŋ/ • The peaks of prominence: vowels /e ə eɪ ɪ/ • Number of syllables: 4 • Chest Pulse Theory • Based on muscular activities • Sonority Theory • Based on relative soundness of segment within words

27. Introduction to sonority theory “The Sonority of a sound is its loudness relative to other sounds with the same length, stress and speech.” • Some sounds are more sonorous • Words in a language can be divided into syllables • Sonority theory distinguishes syllables on the basis of sounds.

28. Sonority hierarchy • Defined on the basis of amount of sound associated • The sonority hierarchy is as follows:- • Vowels (a, e, i, o, u) • Liquids (y, r, l, v) • Nasals (n, m) • Fricatives (s, z, f,…..sh, th etc.) • Affricates (ch, j) • Stops (b, d, g, p, t, k)

29. Sonority scale • Obstruents can be further classified into:- • Fricatives • Affricates • Stops

30. Sonority theory & syllables “A Syllable is a cluster of sonority, defined by a sonority peak acting as a structural magnet to the surrounding lower sonority elements.” • Represented as waves of sonority or Sonority Profile of that syllable Nucleus Onset Coda

31. Sonority sequencing principle “The Sonority Profile of a syllable must rise until its Peak(Nucleus), and then fall.” Peak (Nucleus) Onset Coda

32. examples • ABHIJEET Profile-1 A JEET BHI Profile-2 JEET ABHI

33. Maximal onset principle “The Intervocalic consonants are maximally assigned to the Onsets of syllables in conformity with Universal and Language-Specific Conditions.” • Determines underlying syllable division • Example • DIPLOMA DIP LO MA & DI PLO MA

34. Syllable Structure: a more detailed look S ≡ Syllable, O ≡ Onset R ≡ Rhyme, N ≡ Nucleus Co ≡ Coda Count of no. of syllables in a word is roughly/intuitively the no. of vocalic segments in a word. Thus, presence of a vowel is an obligatory element in the structure of a syllable. This vowel is called “nucleus”. Basic Configuration: (C)V(C). Part of syllable preceding the nucleus is called the onset. Elements coming after the nucleus are called the coda. Nucleus and coda together are referred to as the rhyme.

35. Syllable Structure: Examples ‘word’ ‘sprint’

36. Syllable Structure: Examples  No Coda.  No Onset.  No Coda, No Onset. ‘may’ ‘opt’ ‘air’

37. Syllable Structure • Open Syllable: ends in vowel • Closed syllable: ends in consonant or consonant cluster • Light Syllable: A syllable which is open and ends in a short vowel • General Description – CV. • Example, ‘air’. • Heavy Syllable: Closed syllables or syllables ending in diphthong • Example: ‘opt’ • Example, ‘may’

38. Syllabification: Determining Syllable Boundaries • Given a string of syllables (word), what is the coda of one and the onset of another? • In a sequence such as VCV, where V is any vowel and C is any consonant, is the medial C the coda of the first syllable (VC.V) or the onset of the second syllable (V.CV)? • To determine the correct groupings, there are some rules, two of them being the most important and significant: • Maximal Onset Principle, • Sonority Hierarchy

39. Discussion on the assignment

40. Data • The Carnegie Mellon University Pronouncing Dictionary • machine-readable pronunciation dictionary for North American English that contains over 125,000 words and their transcriptions. • The current phoneme set contains 39 phonemes

41. “Parallel” Corpus Phoneme Example Translation ------- ------- ----------- AA odd AA D AE at AE T AH hut HH AH T AO ought AO T AW cow K AW AY hide HH AY D B be B IY

42. “Parallel” Corpus cntd Phoneme Example Translation ------- ------- ----------- CH cheese CH IY Z D dee D IY DH thee DH IY EH Ed EH D ER hurt HH ER T EY ate EY T F fee F IY G green G R IY N HH he HH IY IH it IH T IY eat IY T JH gee JH IY

43. The tasks • First obtain the Carnegie Mellon University's Pronouncing Dictionary • Train and Test the following Statistical Machine Learning Algorithms • HMM - For HMM you can use either Natural Language Toolkit or you can use GIZA++ with MOSES.

44. Tasks (cntd) • Report all the results using 5-fold cross Validation • Compare all the results obtained in the previous steps in terms of • Precision • Recall • F-Score • Finally do a detailed error analysis.